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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2025.1537181</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Spending, utilization, and price trends for anti-obesity medications in U.S. Medicaid programs: an empirical analysis from 1999 to 2023</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Alsuhibani</surname> <given-names>Abdulrahman A.</given-names></name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">
<sup>&#x002A;</sup>
</xref>
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<contrib contrib-type="author">
<name><surname>Alrasheed</surname> <given-names>Marwan A.</given-names></name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name><surname>Alhomoud</surname> <given-names>Ibrahim S.</given-names></name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name><surname>Alsahali</surname> <given-names>Saud</given-names></name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name><surname>Almalki</surname> <given-names>Ziyad S.</given-names></name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name><surname>Guo</surname> <given-names>Jeff Jianfei</given-names></name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<aff id="aff1"><sup>1</sup><institution>Department of Pharmacy Practice, College of Pharmacy, Qassim University</institution>, <addr-line>Buraydah</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Clinical Pharmacy, College of Pharmacy, King Saud University</institution>, <addr-line>Riyadh</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Clinical Pharmacy, College of Pharmacy, Prince Sattam Bin Abdulaziz University</institution>, <addr-line>Al-Kharj</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff4"><sup>4</sup><institution>James L. Winkle College of Pharmacy, University of Cincinnati Academic Health Center</institution>, <addr-line>Cincinnati, OH</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Cain Craig Truman Clark, Birmingham City University, United Kingdom</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Kevin Lu, University of South Carolina, United States</p>
<p>Han Xie, Nanjing Drum Tower Hospital, China</p>
<p>Camila Mazzeti, Federal University of Mato Grosso do Sul, Brazil</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Abdulrahman A. Alsuhibani, <email>aa.alsuhibani@qu.edu.sa</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1537181</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Alsuhibani, Alrasheed, Alhomoud, Alsahali, Almalki and Guo.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Alsuhibani, Alrasheed, Alhomoud, Alsahali, Almalki and Guo</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background</title>
<p>Obesity poses a significant public health and economic challenge in the United States (U.S.), with rising prevalence, particularly among individuals enrolled in Medicaid&#x2014;the nation&#x2019;s public health insurance program for low-income populations. Anti-obesity medications (AOMs) have become integral to managing obesity, but trends in their utilization and spending within Medicaid remain underexplored.</p>
</sec>
<sec id="sec2">
<title>Objective</title>
<p>To examine Medicaid&#x2019;s utilization, reimbursement, and price trends for AOMs from 1999 to 2023.</p>
</sec>
<sec id="sec3">
<title>Methods</title>
<p>A retrospective analysis assessing the utilization, reimbursement, and pricing of older and newer AOMs. Yearly prescription numbers and reimbursement were calculated for seven AOMs billed through Medicaid between 1999 and 2023. The average expenditure per prescription was used as an indicator of drug pricing.</p>
</sec>
<sec id="sec4">
<title>Results</title>
<p>AOM prescriptions rose from 13,855 in 1999 to 938,663 in 2023, a 6,674% increase. Spending surged by over 77,805,466% due to the introduction of newer, more effective medications, including Wegovy and tirzepatide. The largest share of the market growth in 2023 was driven by these medications.</p>
</sec>
<sec id="sec5">
<title>Conclusion</title>
<p>The significant increase in AOM utilization and spending highlights the growing burden of obesity on Medicaid, emphasizing the need for policy measures to manage rising costs and ensure equitable access to treatment.</p>
</sec>
</abstract>
<kwd-group>
<kwd>obesity</kwd>
<kwd>pandemic</kwd>
<kwd>utilization</kwd>
<kwd>spending</kwd>
<kwd>trends</kwd>
<kwd>Medicaid</kwd>
<kwd>COVID-19</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="51"/>
<page-count count="14"/>
<word-count count="7886"/>
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<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Family Medicine and Primary Care</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec6">
<title>Introduction</title>
<p>Obesity, defined as a body mass index (BMI) of &#x2265;30&#x202F;kg/m<sup>2</sup>, is a multifactorial condition driven by complex genetic, environmental, and neurobiological factors that create an imbalance between energy intake and expenditure. Obesity remains a significant public health issue in the United States (U.S.) and globally (<xref ref-type="bibr" rid="ref1">1</xref>). Not only does it pose a clinical threat, but it also represents a substantial economic burden on healthcare systems, affecting patients&#x2019; quality of life. As of 2023, 41.9% of U.S. adults are classified as obese, marking an increase from prior years (<xref ref-type="bibr" rid="ref1">1</xref>). This growing prevalence is especially pronounced among minority populations such as African Americans and Hispanics, who have obesity rates of 49.9 and 45.6%, respectively (<xref ref-type="bibr" rid="ref2">2</xref>). Additionally, obesity rates are notably higher in rural communities compared to urban areas (<xref ref-type="bibr" rid="ref3">3</xref>). Children and adolescents are also affected, with approximately 20% of individuals aged 2 to 19 living with obesity, a rate that has more than tripled since the mid-1970s (<xref ref-type="bibr" rid="ref4">4</xref>). The disparities extend across states, with West Virginia (41%), Louisiana (40.1%), and Oklahoma (40%) experiencing the highest adult obesity rates, while states like Colorado (25%) and Hawaii (25.9%) report the lowest using National Health and Nutrition Examination Survey (NHANES) data (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref6">6</xref>). A notable misconception about weight status exists among individuals with obesity. A survey that included 1,509 participants showed that approximately 89% of those who met the criteria for obesity considered themselves as overweight (<xref ref-type="bibr" rid="ref7">7</xref>). These trends and misconceptions highlight the ongoing challenges that obesity poses to public health, especially among vulnerable populations.</p>
<p>The global prevalence of obesity has tripled over the past 50&#x202F;years, driven by factors such as increased access to processed foods, shifts in dietary patterns, and more sedentary lifestyles (<xref ref-type="bibr" rid="ref8">8</xref>). The obesity pandemic impacts all populations from diverse socioeconomic backgrounds (<xref ref-type="bibr" rid="ref9 ref10 ref11">9&#x2013;11</xref>). For instance, over one-third of the populations in countries like South Africa, the U.S., Mexico, and Saudi Arabia are now living with obesity (<xref ref-type="bibr" rid="ref12">12</xref>). This underscores the urgent need for effective strategies to mitigate the growing burden of this disease, particularly given its association with an increased risk of cardiovascular disease, hypertension, type 2 diabetes, obstructive sleep apnea, and certain cancers, among other health complications (<xref ref-type="bibr" rid="ref12">12</xref>).</p>
<p>Nutritional therapies, physical activities, behavioral therapies, and medical interventions (including pharmacotherapy and surgical interventions) are the four pillars of obesity management (<xref ref-type="bibr" rid="ref13">13</xref>). Despite education and environmental interventions aimed at obesity prevention, maintaining long-term weight loss remains challenging with lifestyle modifications alone (<xref ref-type="bibr" rid="ref14">14</xref>). Multimodal treatment strategies are essential for patients with obesity to ensure effective obesity management. Therefore, pharmacological management of obesity aims to augment lifestyle modifications (<xref ref-type="bibr" rid="ref15">15</xref>). Current guidelines recommend anti-obesity medications (AOMs) for individuals with BMI of &#x2265;27&#x202F;kg/m (<xref ref-type="bibr" rid="ref2">2</xref>) with comorbidities or BMI&#x202F;&#x2265;&#x202F;30&#x202F;kg/m<sup>2</sup> (<xref ref-type="bibr" rid="ref16 ref17 ref18">16&#x2013;18</xref>). Bariatric surgery has proven to be an effective intervention for severe obesity, improving survival rates for patients who qualify (<xref ref-type="bibr" rid="ref19">19</xref>). However, concerns regarding surgical risks and perioperative complications, along with limited insurance coverage and patient hesitancy, pose significant barriers to broader access to this procedure (<xref ref-type="bibr" rid="ref20 ref21 ref22 ref23">20&#x2013;23</xref>).</p>
<p>The growing recognition that lifestyle changes alone are often insufficient to address obesity has driven an increased focus on the use of pharmaceutical treatments as a complementary approach. Randomized controlled trials (RCTs) have demonstrated that both oral and injectable AOMs can lead to significant weight reduction; however, the degree of weight reduction from AOMs may not reach the same level as that achieved with bariatric surgery (<xref ref-type="bibr" rid="ref24">24</xref>). While new drugs, particularly incretin-based therapies, have shown potential in promoting significant weight loss and improving patient quality of life, they also come with a higher price tag (<xref ref-type="bibr" rid="ref25">25</xref>). Additionally, long-term use of these agents is essential for maintaining weight loss benefits. Discontinuation of therapy for reasons such as cost may lead to weight regain (<xref ref-type="bibr" rid="ref26">26</xref>). This has a direct impact on the costs linked to obesity treatment, especially within Medicaid, where financial resources are often constrained. With the obesity epidemic continuing to rise globally and clinical data indicating the effectiveness of new AOMs, improving access to these medications is crucial.</p>
<p>The global economic burden of obesity is estimated to be 2 trillion USD each year and approximately 2.8% of the global gross domestic product (GDP) (<xref ref-type="bibr" rid="ref27">27</xref>). Analysis from the Organization for Economic Co-operation and Development (OECD) countries estimates that 8.4% of healthcare budgets will be spent on managing overweight-related diseases (<xref ref-type="bibr" rid="ref28">28</xref>). Of these expenditures, 70% will be to cover diabetes treatment, 23% to cardiovascular diseases, and 9% to cancer management (<xref ref-type="bibr" rid="ref28">28</xref>). Well-established evidence links obesity to diabetes, cardiovascular diseases, and cancers (<xref ref-type="bibr" rid="ref29">29</xref>). The economic burden of obesity in the United States is the highest globally based on a single-year estimate using the Value of a Statistical Life (VSL) (<xref ref-type="bibr" rid="ref30">30</xref>). This shows the importance of addressing and managing obesity through a comprehensive management approach, including the use of AOMs. The impact of publicly financed anti-obesity pharmacotherapy is also significant and projected to reach $44.0 billion by 2030 (<xref ref-type="bibr" rid="ref31">31</xref>). The annual cost of older generation AOMs, such as phentermine-topiramate and orlistat, ranges between $1,500 and $8,500, while newer generation treatments exceed $12,000 USD (<xref ref-type="bibr" rid="ref25">25</xref>). The cost of these medications varies substantially across countries. For instance, in Japan, a 4-week supply of semaglutide is priced at $283, whereas the same supply costs $1,349 in the USA. As a result, most US health insurance do not provide coverage for AOMs except for selected Medicaid programs (<xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref33">33</xref>). The number of anti-obesity medication prescriptions reimbursed by state Medicaid programs increased by over 1,300% between 2011 and 2022, largely due to expanded reimbursement of glucagon-like peptide-1 (GLP-1) receptor agonists (<xref ref-type="bibr" rid="ref34">34</xref>). Other potential reasons include newly approved indications for patients aged 12&#x202F;years old and older, as well as for patients with obesity and established cardiovascular diseases (<xref ref-type="bibr" rid="ref15">15</xref>). However, significant barriers to coverage for AOMs still exist globally. Many countries do not provide coverage for the newer generation of AOMs for weight management, primarily due to concerns over cost-effectiveness and the potential economic burden on healthcare budgets (<xref ref-type="bibr" rid="ref33">33</xref>). The Medical Expenditure Panel Survey (MEPS) data indicates that effective weight loss interventions may offer cost savings. The magnitude of savings demonstrated in the MEPS data was influenced by the percentage of BMI reduction and the baseline BMI. For example, reducing BMI by 15% from a baseline of 35 can generate $1,030 USD annual savings (<xref ref-type="bibr" rid="ref35">35</xref>).</p>
<p>The rising costs of medications are a significant concern for healthcare systems, particularly in ensuring that essential treatments remain affordable and accessible. Medicaid, a primary healthcare program for low-income individuals, faces increasing challenges as drug costs, including those for anti-obesity treatments, continue to rise (<xref ref-type="bibr" rid="ref36">36</xref>). An outcome of these rising costs is the low adoption of pharmacotherapy for treating obesity among eligible patients compared to other chronic diseases such as diabetes (<xref ref-type="bibr" rid="ref37">37</xref>). The expansion of Medicaid under the Affordable Care Act has extended coverage to millions of low-income adults under 65, a demographic particularly affected by obesity (<xref ref-type="bibr" rid="ref38">38</xref>). The percentage of Medicare fee-for-service (FFS) beneficiaries diagnosed with obesity increased from 6.2% in 2010 to 21% in 2019 (<xref ref-type="bibr" rid="ref39">39</xref>). Understanding the factors behind these rising costs is crucial for maintaining sustainable budgets while improving access to necessary treatments.</p>
<p>In the USA, Medicaid, the main public financing program for low-income Americans&#x2019; healthcare services, experienced a significant growth in membership from 32.2 million to 68.9 million between 1991 and 2015. This makes up about 20% of the U.S. population overall. In terms of demographics, White Americans comprise around 41% of Medicaid beneficiaries, while African Americans make up about 22%. Additionally, women make up about 58% of enrollees, while those who are 17&#x202F;years of age or younger make up about 48% of the Medicaid-eligible population. These demographic proportions within the total Medicaid enrollment have stayed mostly consistent, despite the fact that the number of Medicaid participants has increased significantly over the previous few decades (<xref ref-type="bibr" rid="ref40 ref41 ref42">40&#x2013;42</xref>). Medicaid is thus comparable in purpose to national health systems or public insurance programs in many other countries, though its benefits and coverage vary by U.S. state.</p>
<p>Despite the growing demand for effective obesity treatments, research on trends in the utilization, spending, and pricing of anti-obesity medications remains scarce. No studies have specifically analyzed these trends within Medicaid, leaving the scope of usage and reimbursement unclear. Many analyses have failed to account for both older and newer AOMs, creating a gap in understanding the full landscape of obesity treatment in real-world settings. As the prevalence of obesity continues to increase, so does the financial burden associated with its treatment. With longer treatment durations and rising medication costs, particularly in resource-constrained settings like Medicaid, addressing these gaps becomes even more crucial. This study aims to investigate trends in the utilization, expenditure, and pricing of anti-obesity medications from April 1999 to December 2023, providing critical insights that could inform policies aimed at optimizing healthcare resource allocation, enhancing patient care, and mitigating the growing economic burden on healthcare systems.</p>
</sec>
<sec sec-type="methods" id="sec7">
<title>Methods</title>
<p>The study employed a descriptive, retrospective drug utilization analysis covering the period from the second quarter of 1999 through the end of 2023. Data for this study were collected from the Medicaid State Drug Utilization Data provided by the Centers for Medicare &#x0026; Medicaid Services (CMS). This comprehensive national database includes quarterly and annual prescription utilization data from all 50&#x202F;U.S. states and the District of Columbia (<xref ref-type="bibr" rid="ref43">43</xref>). Each data entry includes an 11-digit National Drug Code (NDC), drug name (brand and generic), the number of outpatient prescription claims, unit doses dispensed, and total pharmacy reimbursement (including drug cost and dispensing fees). The number of days supplied per prescription was not included. All currently approved anti-obesity medications (AOMs) were identified using their brand names and NDC codes. For orlistat, we included the generic version due to its exclusive indication for obesity. For tirzepatide, we used its generic name, as its branded obesity indication (Zepbound) was approved only in late 2023, with only one quarter of data available. It&#x2019;s worth noting that the initial five digits of the NDC provided insight into the drug manufacturer, while the subsequent digits delineated specific drug products, detailing their strength, dose formulation, and packaging. This observational study was conducted and reported in accordance with the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines. Medications selected for analysis had to meet specific criteria. First, only medications that were formally approved by the FDA between 1999 and 2023 to treat obesity were included. Furthermore, the Medicaid database has to have the relevant reimbursement information for these drugs. This study did not include any medications that were prescribed off-label for the treatment of obesity but were not specifically approved by the FDA for such use. The start year, 1999, was chosen because it coincides with the FDA approval of orlistat (Xenical), the earliest AOM widely available and reimbursed by Medicaid. The end year, 2023, represents the most recent available complete year of CMS data at the time of analysis. This extensive 24-year period allowed assessment of long-term utilization trends and captured the introduction and impact of newer-generation anti-obesity medications. <xref ref-type="table" rid="tab1">Table 1</xref> provides an overview of the U.S. Food and Drug Administration (FDA) approved anti-obesity medications (<xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Overview of the U.S. FDA-approved anti-obesity medications, 1999&#x2013;2023.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Generic name</th>
<th align="center" valign="top">Brand name</th>
<th align="center" valign="top">FDA approval date</th>
<th align="center" valign="top">Patent expiration</th>
<th align="center" valign="top">Manufacturer</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Orlistat</td>
<td align="center" valign="top">Xenical&#x00AE;, and available without prescription a lower dose as Alli&#x00AE;</td>
<td align="center" valign="top">Xenical, April 1999<break/>Alli, February 2007</td>
<td align="center" valign="top">Xenical June 2009<break/>Alli NA</td>
<td align="center" valign="top">Xenical, Cheplapharm Arzneimittel<break/>Alli, GlaxoSmithKline LLC</td>
</tr>
<tr>
<td align="left" valign="top">Phentermine/Topiramate</td>
<td align="center" valign="top">Qsymia&#x00AE;</td>
<td align="center" valign="top">July 2012</td>
<td align="center" valign="top">June 2029</td>
<td align="center" valign="top">Vivus, INC</td>
</tr>
<tr>
<td align="left" valign="top">Naltrexone/Bupropion</td>
<td align="center" valign="top">Contrave&#x00AE;</td>
<td align="center" valign="top">September 2014</td>
<td align="center" valign="top">February 2029</td>
<td align="center" valign="top">Orexigen Therapeutics INC</td>
</tr>
<tr>
<td align="left" valign="top">Liraglutide</td>
<td align="center" valign="top">Saxenda&#x00AE;</td>
<td align="center" valign="top">December 2014</td>
<td align="center" valign="top">June 2024</td>
<td align="center" valign="top">Novo Nordisk INC</td>
</tr>
<tr>
<td align="left" valign="top">Setmelanotide</td>
<td align="center" valign="top">Imcivree&#x00AE;</td>
<td align="center" valign="top">November 2020</td>
<td align="center" valign="top">October 2027</td>
<td align="center" valign="top">Rhythm Pharmaceuticals INC</td>
</tr>
<tr>
<td align="left" valign="top">Semaglutide</td>
<td align="center" valign="top">Wegovy &#x00AE;</td>
<td align="center" valign="top">June 2021</td>
<td align="center" valign="top">January 2027</td>
<td align="center" valign="top">Novo Nordisk INC</td>
</tr>
<tr>
<td align="left" valign="top">Tirzepatide</td>
<td align="center" valign="top">Mounjaro&#x00AE;, Zepbound&#x00AE;</td>
<td align="center" valign="top">Mounjaro, May 2022<break/>Zepbound, November 2023</td>
<td align="center" valign="top">Between 2033 and 2039</td>
<td align="center" valign="top">Eli Lilly</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>&#x002A;</sup>The table outlines the drug category, as well as the generic and brand names, approval dates, patent expiration dates, and manufacturers of individual AOMs. The approval and patent expiration dates are based on U.S. FDA data and U.S. patents, which may differ from those in other countries. Brand names that are not present in the Medicaid databases have been excluded from the table.</p>
</table-wrap-foot>
</table-wrap>
<p>Data were extracted from the publicly available Medicaid State Drug Utilization files, which do not contain individual-level patient data. No sampling or exclusion criteria were applied; all available outpatient prescription records for FDA-approved anti-obesity medications (AOMs) from 1999 to 2023 were included in the analysis. Descriptive statistics (means, totals, proportions) were used to summarize trends. Utilization was defined as the total number of outpatient prescriptions dispensed per quarter. Reimbursement referred to the total amount paid by Medicaid for each drug, representing actual program spending on AOMs. Price per prescription was calculated by dividing the total reimbursement by the number of prescriptions, serving as a proxy for the average cost per fill. All financial figures were reported in nominal U.S. dollars (unadjusted for inflation). Joinpoint regression analysis was used to identify statistically significant changes in trends over time.</p>
<p>Trend visualization was conducted using line charts to illustrate changes over the study period. To identify points at which statistically significant shifts occurred, Joinpoint Trend Analysis Software (Version 5.0) was employed. Joinpoint regression was utilized primarily as an exploratory analytic tool to visually and statistically identify key trend inflection points associated with new medication introductions, rather than for detailed cross-drug trend quantification. Annual Percent Change (APC) and Average Annual Percent Change (AAPC) were calculated for each segment. The empirical quantile method was used to address potential non-normality and outliers, with statistical significance determined at a threshold of <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05. All analyses were conducted using SAS (Version 9.4) and Microsoft Excel 2019.</p>
</sec>
<sec sec-type="results" id="sec8">
<title>Results</title>
<p>The analysis revealed a significant upward trend in Medicaid utilization and expenditure of anti-obesity medications between 1999 and 2023. The total number of prescriptions for anti-obesity medications increased from 13,855 in 1999 to 938,663 in 2023, marking a 6674.9% rise. Similarly, Medicaid spending on AOMs increased during the study period from $1,473,375.37 million to $1,146,368,046.11 billion, a substantial 77,805,466% increase. The highest annual rise in spending occurred between 2021 and 2022 when expenditures increased significantly from $28,611,599.05 million to $212,287,750.45 million. The introduction of Contrave and Saxenda in 2014 led to a significant increase in the utilization and reimbursement of AOMs, with a 48 and 43% rise, respectively. Additionally, after their launch, the average prescription price increased by 153%. When setmelanotide (Imcivree) was introduced in 2020, it significantly raised the average prescription cost, which had a significant effect on prescription pricing. The most pronounced growth in prescription volume occurred in 2022, following the market entry of Wegovy, resulting in a 536% rise in the number of prescriptions and a 642% increase in reimbursement. This upward trend persisted into the following year with the introduction of tirzepatide, which was associated with a 412% increase in prescription volume and a 440% rise in reimbursement compared to the preceding year (<xref ref-type="table" rid="tab2">Table 2</xref> summarizes annual data for overall utilization, spending, and prices of anti-obesity medications reimbursed by Medicaid from 1999 to 2023).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Annual summary data for overall utilization (number of prescriptions), spending, and prices of anti-obesity medications reimbursed by Medicaid, 1999&#x2013;2023.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Year</th>
<th align="center" valign="top" colspan="2">Number of prescriptions</th>
<th align="center" valign="top" colspan="2">Reimbursement</th>
<th align="center" valign="top" colspan="2">Reimbursement per prescription</th>
</tr>
<tr>
<th align="center" valign="top">Utilization (<italic>n</italic>)</th>
<th align="center" valign="top">Change (%)</th>
<th align="center" valign="top">Spending ($)</th>
<th align="center" valign="top">Change (%)</th>
<th align="center" valign="top">Average price ($)</th>
<th align="center" valign="top">Change (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">1999</td>
<td align="center" valign="bottom">13,855</td>
<td align="center" valign="bottom">--</td>
<td align="center" valign="bottom">1473375.37</td>
<td align="center" valign="bottom">--</td>
<td align="center" valign="bottom">106.3</td>
<td align="center" valign="bottom">--</td>
</tr>
<tr>
<td align="left" valign="bottom">2000</td>
<td align="center" valign="bottom">69,301</td>
<td align="center" valign="bottom">400.2</td>
<td align="center" valign="bottom">7436339.19</td>
<td align="center" valign="bottom">404.7</td>
<td align="center" valign="bottom">107.3</td>
<td align="center" valign="bottom">0.9</td>
</tr>
<tr>
<td align="left" valign="bottom">2001</td>
<td align="center" valign="bottom">82,636</td>
<td align="center" valign="bottom">19.2</td>
<td align="center" valign="bottom">8812999.65</td>
<td align="center" valign="bottom">18.5</td>
<td align="center" valign="bottom">106.6</td>
<td align="center" valign="bottom">&#x2212;0.6</td>
</tr>
<tr>
<td align="left" valign="bottom">2002</td>
<td align="center" valign="bottom">69,624</td>
<td align="center" valign="bottom">&#x2212;15.7</td>
<td align="center" valign="bottom">7444319.80</td>
<td align="center" valign="bottom">&#x2212;15.5</td>
<td align="center" valign="bottom">106.9</td>
<td align="center" valign="bottom">0.3</td>
</tr>
<tr>
<td align="left" valign="bottom">2003</td>
<td align="center" valign="bottom">66,925</td>
<td align="center" valign="bottom">&#x2212;3.9</td>
<td align="center" valign="bottom">7216938.51</td>
<td align="center" valign="bottom">&#x2212;3.1</td>
<td align="center" valign="bottom">107.8</td>
<td align="center" valign="bottom">0.9</td>
</tr>
<tr>
<td align="left" valign="bottom">2004</td>
<td align="center" valign="bottom">57,560</td>
<td align="center" valign="bottom">&#x2212;14.0</td>
<td align="center" valign="bottom">7507969.37</td>
<td align="center" valign="bottom">4.0</td>
<td align="center" valign="bottom">130.4</td>
<td align="center" valign="bottom">21.0</td>
</tr>
<tr>
<td align="left" valign="bottom">2005</td>
<td align="center" valign="bottom">28,296</td>
<td align="center" valign="bottom">&#x2212;50.8</td>
<td align="center" valign="bottom">4305061.22</td>
<td align="center" valign="bottom">&#x2212;42.7</td>
<td align="center" valign="bottom">152.1</td>
<td align="center" valign="bottom">16.6</td>
</tr>
<tr>
<td align="left" valign="bottom">2006</td>
<td align="center" valign="bottom">21,102</td>
<td align="center" valign="bottom">&#x2212;25.4</td>
<td align="center" valign="bottom">3900970.88</td>
<td align="center" valign="bottom">&#x2212;9.4</td>
<td align="center" valign="bottom">184.9</td>
<td align="center" valign="bottom">21.5</td>
</tr>
<tr>
<td align="left" valign="bottom">2007</td>
<td align="center" valign="bottom">16,947</td>
<td align="center" valign="bottom">&#x2212;19.7</td>
<td align="center" valign="bottom">4423268.58</td>
<td align="center" valign="bottom">13.4</td>
<td align="center" valign="bottom">261.0</td>
<td align="center" valign="bottom">41.2</td>
</tr>
<tr>
<td align="left" valign="bottom">2008</td>
<td align="center" valign="bottom">14,430</td>
<td align="center" valign="bottom">&#x2212;14.9</td>
<td align="center" valign="bottom">3602349.16</td>
<td align="center" valign="bottom">&#x2212;18.6</td>
<td align="center" valign="bottom">249.6</td>
<td align="center" valign="bottom">&#x2212;4.4</td>
</tr>
<tr>
<td align="left" valign="bottom">2009</td>
<td align="center" valign="bottom">11,796</td>
<td align="center" valign="bottom">&#x2212;18.3</td>
<td align="center" valign="bottom">3320857.05</td>
<td align="center" valign="bottom">&#x2212;7.8</td>
<td align="center" valign="bottom">281.5</td>
<td align="center" valign="bottom">12.8</td>
</tr>
<tr>
<td align="left" valign="bottom">2010</td>
<td align="center" valign="bottom">8,563</td>
<td align="center" valign="bottom">&#x2212;27.4</td>
<td align="center" valign="bottom">2865764.38</td>
<td align="center" valign="bottom">&#x2212;13.7</td>
<td align="center" valign="bottom">334.7</td>
<td align="center" valign="bottom">18.9</td>
</tr>
<tr>
<td align="left" valign="bottom">2011</td>
<td align="center" valign="bottom">6,809</td>
<td align="center" valign="bottom">&#x2212;20.5</td>
<td align="center" valign="bottom">2843873.23</td>
<td align="center" valign="bottom">&#x2212;0.8</td>
<td align="center" valign="bottom">417.7</td>
<td align="center" valign="bottom">24.8</td>
</tr>
<tr>
<td align="left" valign="bottom">2012</td>
<td align="center" valign="bottom">6,147</td>
<td align="center" valign="bottom">&#x2212;9.7</td>
<td align="center" valign="bottom">2398447.72</td>
<td align="center" valign="bottom">&#x2212;15.7</td>
<td align="center" valign="bottom">520.0</td>
<td align="center" valign="bottom">24.5</td>
</tr>
<tr>
<td align="left" valign="bottom">2013</td>
<td align="center" valign="bottom">3,854</td>
<td align="center" valign="bottom">&#x2212;37.3</td>
<td align="center" valign="bottom">1554471.53</td>
<td align="center" valign="bottom">&#x2212;35.2</td>
<td align="center" valign="bottom">545.9</td>
<td align="center" valign="bottom">5.0</td>
</tr>
<tr>
<td align="left" valign="bottom">2014</td>
<td align="center" valign="bottom">4,202</td>
<td align="center" valign="bottom">9.0</td>
<td align="center" valign="bottom">1538099.31</td>
<td align="center" valign="bottom">&#x2212;1.1</td>
<td align="center" valign="bottom">731.7</td>
<td align="center" valign="bottom">34.0</td>
</tr>
<tr>
<td align="left" valign="bottom">2015</td>
<td align="center" valign="bottom">6,231</td>
<td align="center" valign="bottom">48.3</td>
<td align="center" valign="bottom">2208482.27</td>
<td align="center" valign="bottom">43.6</td>
<td align="center" valign="bottom">1851.9</td>
<td align="center" valign="bottom">153.1</td>
</tr>
<tr>
<td align="left" valign="bottom">2016</td>
<td align="center" valign="bottom">8,438</td>
<td align="center" valign="bottom">35.4</td>
<td align="center" valign="bottom">4145357.67</td>
<td align="center" valign="bottom">87.7</td>
<td align="center" valign="bottom">2001.2</td>
<td align="center" valign="bottom">8.1</td>
</tr>
<tr>
<td align="left" valign="bottom">2017</td>
<td align="center" valign="bottom">11,678</td>
<td align="center" valign="bottom">38.4</td>
<td align="center" valign="bottom">7064146.41</td>
<td align="center" valign="bottom">70.4</td>
<td align="center" valign="bottom">2033.3</td>
<td align="center" valign="bottom">1.6</td>
</tr>
<tr>
<td align="left" valign="bottom">2018</td>
<td align="center" valign="bottom">13,917</td>
<td align="center" valign="bottom">19.2</td>
<td align="center" valign="bottom">9046120.12</td>
<td align="center" valign="bottom">28.1</td>
<td align="center" valign="bottom">1983.4</td>
<td align="center" valign="bottom">&#x2212;2.5</td>
</tr>
<tr>
<td align="left" valign="bottom">2019</td>
<td align="center" valign="bottom">14,279</td>
<td align="center" valign="bottom">2.6</td>
<td align="center" valign="bottom">11071593.21</td>
<td align="center" valign="bottom">22.4</td>
<td align="center" valign="bottom">2104.5</td>
<td align="center" valign="bottom">6.1</td>
</tr>
<tr>
<td align="left" valign="bottom">2020</td>
<td align="center" valign="bottom">18,638</td>
<td align="center" valign="bottom">30.5</td>
<td align="center" valign="bottom">16132822.26</td>
<td align="center" valign="bottom">45.7</td>
<td align="center" valign="bottom">2202.7</td>
<td align="center" valign="bottom">4.7</td>
</tr>
<tr>
<td align="left" valign="bottom">2021</td>
<td align="center" valign="bottom">28,789</td>
<td align="center" valign="bottom">54.5</td>
<td align="center" valign="bottom">28611599.05</td>
<td align="center" valign="bottom">77.4</td>
<td align="center" valign="bottom">28553.0</td>
<td align="center" valign="bottom">1196.3</td>
</tr>
<tr>
<td align="left" valign="bottom">2022</td>
<td align="center" valign="bottom">183,064</td>
<td align="center" valign="bottom">535.9</td>
<td align="center" valign="bottom">212287750.45</td>
<td align="center" valign="bottom">642.0</td>
<td align="center" valign="bottom">30435.7</td>
<td align="center" valign="bottom">6.6</td>
</tr>
<tr>
<td align="left" valign="bottom">2023</td>
<td align="center" valign="bottom">938,663</td>
<td align="center" valign="bottom">412.8</td>
<td align="center" valign="bottom">1146368046.11</td>
<td align="center" valign="bottom">440.0</td>
<td align="center" valign="bottom">31207.8</td>
<td align="center" valign="bottom">2.5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>&#x002A;</sup>Utilization reflects the total number of prescriptions dispensed; Reimbursement reflects total Medicaid spending (in nominal USD); Price per prescription is calculated as total reimbursement divided by number of prescriptions.</p>
</table-wrap-foot>
</table-wrap>
<p>In terms of trends, both the utilization and spending on anti-obesity medications experienced a dramatic rise after 2021. The introduction of Wegovy, and tirzepatide medications in in 2021 and 2022 leads this raising trends. <xref ref-type="fig" rid="fig1">Figures 1</xref>, <xref ref-type="fig" rid="fig2">2</xref> illustrate the utilization and spending trends of anti-obesity medications in Medicaid from 1999 to 2023, and <xref ref-type="supplementary-material" rid="SM1">Supplementary Figures S1, S2</xref> illustrate the utilization and spending trends of the AOMs in Medicaid, focusing specifically on the years 2013 to 2023.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Medicaid utilization (number of prescriptions) of anti-obesity medications from 1999 to 2023.</p>
</caption>
<graphic xlink:href="fmed-12-1537181-g001.tif">
<alt-text content-type="machine-generated">Line graph showing the number of prescriptions for various drugs from 1999 to 2023. Orlistat prescriptions peaked around 2002, then declined sharply. Wegovy and Tirzepatide show significant increases in 2022 and 2023. Other drugs like Saxenda and Qsymia have lower, more stable trends.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Medicaid spending (reimbursement) of anti-obesity medications from 1999 to 2023 (US$).</p>
</caption>
<graphic xlink:href="fmed-12-1537181-g002.tif">
<alt-text content-type="machine-generated">Line chart titled "Reimbursement" showing reimbursement amounts from 1999 to 2023 for various medications: Orlistat, Qsymia, Contrave, Saxenda, Imcivree, Wegovy, and Tirzepatide. Minimal activity is observed until 2019, with a sharp increase from 2021 onward, notably for Wegovy and Tirzepatide.</alt-text>
</graphic>
</fig>
<p>When comparing individual drugs, orlistat, Wegovy, and tirzepatide dominated the market share utilization, whereas Wegovy, tirzepatide, and Saxenda dominated spending, respectively. Orlistat maintained market dominance until 2013, with a 98% share, but its utilization steadily declined after the introduction of the newer medications (Qsymia, Contrave, and Saxenda). By 2019, orlistat&#x2019;s market share had dropped to just 8%. The number of prescriptions for orlistat increased from 13,855 in 1999 to 82,636 in 2001, which was its peak. Meanwhile, Wegovy utilization grew from 2,634 to 409,729 prescriptions between 2021 and 2023. The highest growth in prescriptions was observed between 2022 and 2023 for tirzepatide, with prescriptions increasing by 1,214%, from 31,115 to 408,908.</p>
<p>Qsymia and Contrave saw a peak in utilization in 2015, alongside Saxenda. While the utilization of Qsymia and Contrave declined afterward, Saxenda continued to dominate the market until its peak in 2020, accounting for 64% of the market share. Additionally, Wegovy and tirzepatide accounted for 88% of total prescriptions in 2023, followed by Saxenda at 11%. This reflects the significant market penetration of Wegovy and tirzepatide within just two and one year(s) of entering the market, respectively. In terms of spending market share, Wegovy represented 47%, while tirzepatide accounted for 37% in 2023. <xref ref-type="table" rid="tab3">Table 3</xref> and <xref ref-type="fig" rid="fig3">Figures 3</xref>, <xref ref-type="fig" rid="fig4">4</xref> summarize the market shares of utilization and reimbursement across the various medications.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Spending and utilization market shares of individual anti-obesity medications over time, 1999&#x2013;2023.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Year</th>
<th align="center" valign="top">Orlistat</th>
<th align="center" valign="top" rowspan="2">Utilization (%)</th>
<th align="center" valign="top">QSYMIA</th>
<th align="center" valign="top" rowspan="2">Utilization (%)</th>
<th align="center" valign="top">CONTRAVE</th>
<th align="center" valign="top" rowspan="2">Utilization (%)</th>
<th align="center" valign="top">SAXENDA</th>
<th align="center" valign="top" rowspan="2">Utilization (%)</th>
<th align="center" valign="top">IMCIVREE</th>
<th align="center" valign="top" rowspan="2">Utilization (%)</th>
<th align="center" valign="top">WEGOVY</th>
<th align="center" valign="top" rowspan="2">Utilization (%)</th>
<th align="center" valign="top">Tirzepatide</th>
<th align="center" valign="top" rowspan="2">Utilization (%)</th>
</tr>
<tr>
<th align="center" valign="middle">Spending (%)</th>
<th align="center" valign="middle">Spending (%)</th>
<th align="center" valign="middle">Spending (%)</th>
<th align="center" valign="middle">Spending (%)</th>
<th align="center" valign="middle">Spending (%)</th>
<th align="center" valign="middle">Spending (%)</th>
<th align="center" valign="middle">Spending (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1999</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
</tr>
<tr>
<td align="left" valign="middle">2000</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
</tr>
<tr>
<td align="left" valign="middle">2001</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
</tr>
<tr>
<td align="left" valign="middle">2002</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
</tr>
<tr>
<td align="left" valign="middle">2003</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
</tr>
<tr>
<td align="left" valign="middle">2004</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
</tr>
<tr>
<td align="left" valign="middle">2005</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
</tr>
<tr>
<td align="left" valign="middle">2006</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
</tr>
<tr>
<td align="left" valign="middle">2007</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
</tr>
<tr>
<td align="left" valign="middle">2008</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
</tr>
<tr>
<td align="left" valign="middle">2009</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
</tr>
<tr>
<td align="left" valign="middle">2010</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
</tr>
<tr>
<td align="left" valign="middle">2011</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
</tr>
<tr>
<td align="left" valign="middle">2012</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">100%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
</tr>
<tr>
<td align="left" valign="middle">2013</td>
<td align="center" valign="middle">98%</td>
<td align="center" valign="middle">94%</td>
<td align="center" valign="middle">2%</td>
<td align="center" valign="middle">6%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
</tr>
<tr>
<td align="left" valign="middle">2014</td>
<td align="center" valign="middle">89%</td>
<td align="center" valign="middle">72%</td>
<td align="center" valign="middle">11%</td>
<td align="center" valign="middle">27%</td>
<td align="center" valign="middle">0.3%</td>
<td align="center" valign="middle">1%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="middle">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
</tr>
<tr>
<td align="left" valign="top">2015</td>
<td align="center" valign="top">63%</td>
<td align="center" valign="top">46%</td>
<td align="center" valign="top">12%</td>
<td align="center" valign="top">26%</td>
<td align="center" valign="top">11%</td>
<td align="center" valign="top">23%</td>
<td align="center" valign="top">14%</td>
<td align="center" valign="top">5%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
</tr>
<tr>
<td align="left" valign="top">2016</td>
<td align="center" valign="top">30%</td>
<td align="center" valign="top">28%</td>
<td align="center" valign="top">8%</td>
<td align="center" valign="top">22%</td>
<td align="center" valign="top">10%</td>
<td align="center" valign="top">26%</td>
<td align="center" valign="top">51%</td>
<td align="center" valign="top">23%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
</tr>
<tr>
<td align="left" valign="top">2017</td>
<td align="center" valign="top">17%</td>
<td align="center" valign="top">19%</td>
<td align="center" valign="top">6%</td>
<td align="center" valign="top">18%</td>
<td align="center" valign="top">8%</td>
<td align="center" valign="top">25%</td>
<td align="center" valign="top">69%</td>
<td align="center" valign="top">38%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
</tr>
<tr>
<td align="left" valign="top">2018</td>
<td align="center" valign="top">13%</td>
<td align="center" valign="top">15%</td>
<td align="center" valign="top">4%</td>
<td align="center" valign="top">14%</td>
<td align="center" valign="top">8%</td>
<td align="center" valign="top">22%</td>
<td align="center" valign="top">75%</td>
<td align="center" valign="top">49%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
</tr>
<tr>
<td align="left" valign="top">2019</td>
<td align="center" valign="top">8%</td>
<td align="center" valign="top">10%</td>
<td align="center" valign="top">3%</td>
<td align="center" valign="top">12%</td>
<td align="center" valign="top">5%</td>
<td align="center" valign="top">17%</td>
<td align="center" valign="top">84%</td>
<td align="center" valign="top">60%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
</tr>
<tr>
<td align="left" valign="top">2020</td>
<td align="center" valign="top">10%</td>
<td align="center" valign="top">13%</td>
<td align="center" valign="top">2%</td>
<td align="center" valign="top">11%</td>
<td align="center" valign="top">3%</td>
<td align="center" valign="top">13%</td>
<td align="center" valign="top">85%</td>
<td align="center" valign="top">64%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
</tr>
<tr>
<td align="left" valign="top">2021</td>
<td align="center" valign="top">6%</td>
<td align="center" valign="top">9%</td>
<td align="center" valign="top">2%</td>
<td align="center" valign="top">8%</td>
<td align="center" valign="top">2%</td>
<td align="center" valign="top">9%</td>
<td align="center" valign="top">78%</td>
<td align="center" valign="top">64%</td>
<td align="center" valign="top">2%</td>
<td align="center" valign="top">0.1%</td>
<td align="center" valign="top">11%</td>
<td align="center" valign="top">9%</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0%</td>
</tr>
<tr>
<td align="left" valign="top">2022</td>
<td align="center" valign="top">2%</td>
<td align="center" valign="top">3%</td>
<td align="center" valign="top">1%</td>
<td align="center" valign="top">4%</td>
<td align="center" valign="top">2%</td>
<td align="center" valign="top">4%</td>
<td align="center" valign="top">49%</td>
<td align="center" valign="top">46%</td>
<td align="center" valign="top">4%</td>
<td align="center" valign="top">0.2%</td>
<td align="center" valign="top">28%</td>
<td align="center" valign="top">25%</td>
<td align="center" valign="top">15%</td>
<td align="center" valign="top">17%</td>
</tr>
<tr>
<td align="left" valign="top">2023</td>
<td align="center" valign="top">0.3%</td>
<td align="center" valign="top">0.5%</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0.3%</td>
<td align="center" valign="top">1%</td>
<td align="center" valign="top">11%</td>
<td align="center" valign="top">11%</td>
<td align="center" valign="top">4%</td>
<td align="center" valign="top">0.2%</td>
<td align="center" valign="top">47%</td>
<td align="center" valign="top">44%</td>
<td align="center" valign="top">37%</td>
<td align="center" valign="top">44%</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Medicaid utilization (number of prescriptions) market share for anti-obesity medications from 1999 to 2023.</p>
</caption>
<graphic xlink:href="fmed-12-1537181-g003.tif">
<alt-text content-type="machine-generated">Line graph showing reimbursement market share from 1999 to 2023 for various medications. Orlistat maintains dominance until 2013, then declines sharply. Saxenda rises from 2015, peaking around 2020, then declines. WEGOVY and Tirzepatide rise significantly from 2021. Other medications like QSYMIA and CONTRAVE have minimal market presence.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Medicaid spending (reimbursement) market share for anti-obesity medications from 1999 to 2023 (US$).</p>
</caption>
<graphic xlink:href="fmed-12-1537181-g004.tif">
<alt-text content-type="machine-generated">Line graph showing the market share of prescription medications from 1999 to 2023. Orlistat starts at 100% and drops sharply after 2013. QS MYA, Contrave, and Saxenda rise in the mid-2010s. Wegovy and Tirzepatide show upward trends post-2021.</alt-text>
</graphic>
</fig>
<p>Regarding the cost per prescription, Imcivree saw the highest average price, at $25,703.6 per prescription. While Wegovy and tirzepatide prescription prices increased by less than 4% between 2022 and 2023. On the other hand, Qsymia had a relatively lower cost during the study period, ranging from $124.8 to $191.6, though data for the year 2023 was unavailable from the source. The peak reimbursement amount per prescription for Saxenda was observed in 2022, while those for orlistat, Contrave, Imcivree, Wegovy, and tirzepatide were recorded in 2023 (<xref ref-type="table" rid="tab4">Table 4</xref> summarizes average prescription price trends for the included medications).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Drug prices of individual anti-obesity medications over time, 1999&#x2013;2023 (reimbursement in dollar amounts per prescription acts as a proxy for average drug price).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Year</th>
<th align="center" valign="top" colspan="7">Average drug price ($)</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">Orlistat</th>
<th align="center" valign="top">QSYMIA</th>
<th align="center" valign="top">CONTRAVE</th>
<th align="center" valign="top">SAXENDA</th>
<th align="center" valign="top">IMCIVREE</th>
<th align="center" valign="top">WEGOVY</th>
<th align="center" valign="top">Tirzepatide</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1999</td>
<td align="center" valign="bottom">106.3</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2000</td>
<td align="center" valign="bottom">107.3</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2001</td>
<td align="center" valign="bottom">106.6</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2002</td>
<td align="center" valign="bottom">106.9</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2003</td>
<td align="center" valign="bottom">107.8</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2004</td>
<td align="center" valign="bottom">130.4</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2005</td>
<td align="center" valign="bottom">152.1</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2006</td>
<td align="center" valign="bottom">184.9</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2007</td>
<td align="center" valign="bottom">261.0</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2008</td>
<td align="center" valign="bottom">249.6</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2009</td>
<td align="center" valign="bottom">281.5</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2010</td>
<td align="center" valign="bottom">334.7</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2011</td>
<td align="center" valign="bottom">417.7</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2012</td>
<td align="center" valign="bottom">390.3</td>
<td align="center" valign="bottom">129.7</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2013</td>
<td align="center" valign="bottom">421.1</td>
<td align="center" valign="bottom">124.8</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2014</td>
<td align="center" valign="bottom">450.2</td>
<td align="center" valign="bottom">148.2</td>
<td align="center" valign="bottom">133.3</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2015</td>
<td align="center" valign="bottom">483.9</td>
<td align="center" valign="bottom">168.6</td>
<td align="center" valign="bottom">164.1</td>
<td align="center" valign="bottom">1035.3</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2016</td>
<td align="center" valign="bottom">522.8</td>
<td align="center" valign="bottom">182.7</td>
<td align="center" valign="bottom">185.8</td>
<td align="center" valign="bottom">1109.8</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2017</td>
<td align="center" valign="bottom">548.5</td>
<td align="center" valign="bottom">182.1</td>
<td align="center" valign="bottom">201.2</td>
<td align="center" valign="bottom">1101.5</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2018</td>
<td align="center" valign="bottom">573.9</td>
<td align="center" valign="bottom">176.6</td>
<td align="center" valign="bottom">225.1</td>
<td align="center" valign="bottom">1007.9</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2019</td>
<td align="center" valign="bottom">620.6</td>
<td align="center" valign="bottom">177.4</td>
<td align="center" valign="bottom">228.9</td>
<td align="center" valign="bottom">1077.5</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2020</td>
<td align="center" valign="bottom">646.8</td>
<td align="center" valign="bottom">177.8</td>
<td align="center" valign="bottom">229.9</td>
<td align="center" valign="bottom">1148.2</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2021</td>
<td align="center" valign="bottom">624.3</td>
<td align="center" valign="bottom">186.5</td>
<td align="center" valign="bottom">252.3</td>
<td align="center" valign="bottom">1215.2</td>
<td align="center" valign="bottom">25112.7</td>
<td align="center" valign="bottom">1162.0</td>
<td align="center" valign="middle">--</td>
</tr>
<tr>
<td align="left" valign="middle">2022</td>
<td align="center" valign="bottom">682.9</td>
<td align="center" valign="bottom">191.6</td>
<td align="center" valign="bottom">452.9</td>
<td align="center" valign="bottom">1223.1</td>
<td align="center" valign="bottom">25567.7</td>
<td align="center" valign="bottom">1320.2</td>
<td align="center" valign="bottom">997.2</td>
</tr>
<tr>
<td align="left" valign="middle">2023</td>
<td align="center" valign="bottom">696.8</td>
<td align="center" valign="bottom">--</td>
<td align="center" valign="bottom">507.6</td>
<td align="center" valign="bottom">1208.5</td>
<td align="center" valign="bottom">26430.6</td>
<td align="center" valign="bottom">1321.2</td>
<td align="center" valign="bottom">1043.2</td>
</tr>
<tr>
<td align="left" valign="middle">Average</td>
<td align="center" valign="bottom">368.4</td>
<td align="center" valign="bottom">167.8</td>
<td align="center" valign="bottom">258.1</td>
<td align="center" valign="bottom">1125.2</td>
<td align="center" valign="bottom">25703.6</td>
<td align="center" valign="bottom">1267.8</td>
<td align="center" valign="bottom">1020.2</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Joinpoint regression analysis revealed notable shifts in the utilization and pricing of anti-obesity medications over time. As illustrated in <xref ref-type="fig" rid="fig5">Figure 5</xref>, up until the first quarter of 2023, tirzepatide, Wegovy, and Saxenda demonstrated increasing trends in both utilization and Medicaid reimbursement. However, in the second quarter of 2023, tirzepatide continued to rise significantly in utilization, while Wegovy experienced a modest decline and Saxenda saw a pronounced decrease, suggesting a shift in prescribing patterns.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Joinpoint regression for the tirzepatide, Wegovy, and Saxenda AOMs utilization in CMS.</p>
</caption>
<graphic xlink:href="fmed-12-1537181-g005.tif">
<alt-text content-type="machine-generated">Top chart depicts "Wegovy" prescriptions with a sharp increase from 2021 Q3 to 2023 Q2 and a slight decline by Q4. Middle chart shows "Tirzepatide" prescriptions rising steadily from 2022 Q2 to 2023 Q4. Bottom chart illustrates "Saxenda" prescriptions climbing sharply from 2015, peaking in 2022, then declining slightly in 2023. Each indicates the Annual Percent Change (APC) significance at alpha = 0.05 level with one joinpoint model.</alt-text>
</graphic>
</fig>
<p>Joinpoint analysis visually confirmed upward inflection points corresponding to major drug introductions, particularly in 2014 (Contrave and Saxenda), 2021 (Wegovy), and 2022 (tirzepatide). Given the substantial differences among these medications in terms of pricing, market entry timing, and usage trends, detailed year-to-year quantitative comparisons (e.g., APC or AAPC) across products were not emphasized. Such comparisons may be misleading in this context and were beyond the descriptive intent of this study.</p>
<p>In 2021s reimbursements, for tirzepatide, Wegovy, and Saxenda mirrored their usage trends; however, Qsymia and Contrave saw a significant reimbursement increase compared to previous periods (<xref ref-type="fig" rid="fig6">Figure 6</xref>). Furthermore, as shown in <xref ref-type="fig" rid="fig7">Figure 7</xref>, by 2022 Q4, tirzepatide&#x2019;s prescription price significantly increased, contrasting with a marked price drop for Wegovy during the same period. These results highlight key turning points in both the utilization and pricing of anti-obesity drugs, offering critical insights into market dynamics (further details are available in <xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>).</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Joinpoint regression for the Qsymia, and Contrave AOMs reimbursement in CMS.</p>
</caption>
<graphic xlink:href="fmed-12-1537181-g006.tif">
<alt-text content-type="machine-generated">Two line charts depict trends in sales for QSYMIA and CONTRAVE from 2012 to 2023, each showing observed data points and different phases indicated as joinpoints. QSYMIA has three observed phases with significant annual percent changes in 2021-2022, showing a sharp rise followed by a decline. CONTRAVE depicts data from 2014&#x2013;2023 with phases showing significant changes around 2021-2023, illustrating a rise and subsequent fall. Legends highlight annual percent change values where significance is marked by an asterisk.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Joinpoint regression for the tirzepatide, and Wegovy AOMs price in CMS.</p>
</caption>
<graphic xlink:href="fmed-12-1537181-g007.tif">
<alt-text content-type="machine-generated">Two line graphs compare the proxy prices of Tirzepatide and Wegovy over different quarters. The Tirzepatide graph shows a decrease from 2022 Q2 to Q4 with an Annual Percent Change (APC) of -1.38, followed by an increase to 2023 Q4 with an APC of 1.16. The Wegovy graph shows an increase from 2021 Q3 to 2022 Q3 with an APC of 3.63, then a decrease to 2023 Q4 with an APC of -0.61. Both graphs use red squares for observed data points.</alt-text>
</graphic>
</fig>
<p>In conclusion, the study demonstrates the growing trend of anti-obesity medication utilization within the Medicaid system, with a significant rise in both the number of prescriptions and overall spending. Future research could explore the underlying drivers of observed trends, including the role of newly introduced medications, reimbursement policies, and clinical guidelines. Additionally, investigations into patient adherence and state-level variation in AOM coverage may offer valuable insights into access disparities and the long-term effectiveness of these treatments in real-world Medicaid populations.</p>
</sec>
<sec sec-type="discussion" id="sec9">
<title>Discussion</title>
<p>This study is the first to examine utilization, spending, and price trends of anti-obesity medications within the Medicaid program. Our analysis indicates a substantial increase in both spending and utilization of these drugs, the growth was driven primarily by the introduction and subsequent success of Qsymia, Contrave, and Saxenda, followed by the strong impact of Wegovy and tirzepatide. These medications have proven effective in treating obesity and have become integral to treatment protocols in the U.S. healthcare system, particularly among Medicaid patients. The currently approved anti-obesity medications are generally well-tolerated, making them suitable for long-term use in managing obesity.</p>
<p>Our data also highlight the impact of external factors on drug utilization patterns, notably the COVID-19 pandemic. The combination of the pandemic, which underscored obesity as a significant risk factor for worse COVID-19 outcomes, along with the proven efficacy and tolerability of newly approved medications, positively influenced the number of patients who decided and initiated obesity treatment (<xref ref-type="bibr" rid="ref46 ref47 ref48">46&#x2013;48</xref>).</p>
<p>The FDA has specifically approved setmelanotide (Imcivree) for the management of chronic weight in individuals aged six and older who have obesity due to rare genetic disorders (<xref ref-type="bibr" rid="ref49">49</xref>). This restriction explains its low utilization and high cost. Imcivree is not designed for the management of general obesity, which severely limits the patient population it can treat, unlike other obesity medications that target a broader demographic (<xref ref-type="bibr" rid="ref49">49</xref>).</p>
<p>The pricing of anti-obesity medications presents a unique scenario, driven by several factors. Historically, there has been a lack of effective and tolerable medications available in the market. This gap, combined with the high costs and potential complications associated with bariatric surgery, has created a significant demand for alternative treatments. With the increasing prevalence of obesity globally, the introduction of new medications such as Wegovy and tirzepatide marked a turning point. In the first 2 years following their release, these medications accounted for a dramatic increase in prescriptions, representing 88% of total prescriptions in 2023. This surge reflects not only the growing need for effective obesity treatments but also the opportunity for innovation in this therapeutic area. The convenience of weekly injections with Wegovy and tirzepatide, combined with the proven efficacy and tolerability, makes these two options more practical for clinical use. It&#x2019;s also significant how quickly the use of these more recent agents has increased. In a recently published study (<xref ref-type="bibr" rid="ref50">50</xref>), tirzepatide (Mounjaro) and Wegovy had monthly user growth rates of over 200 and 100%, respectively. Despite just having data for 7 months, Mounjaro&#x2019;s adoption trajectory was especially high, most likely because of its dual incretin receptor activity on GIP and GLP-1, which helps patients lose more weight (<xref ref-type="bibr" rid="ref50">50</xref>). As its data grows, Mounjaro&#x2019;s potential to dominate the market is further highlighted by its distinctive technique of action (<xref ref-type="bibr" rid="ref50">50</xref>). Additionally, the rising awareness of obesity as a public health issue and a risk factor for several diseases further emphasizes the critical role of these drugs in current treatment protocols. Moreover, the COVID-19 pandemic may reinforce the importance of managing obesity. The market demand and the healthcare system&#x2019;s readiness to adopt such solutions highlight the significant potential for addressing obesity through pharmacological interventions.</p>
<p>The spending on specialty drugs, including those used to treat obesity, continues to rise, it is essential to explore policy measures that can mitigate these costs. Current proposals aimed at curbing drug price increases, such as adjusting the Medicaid rebate cap and increasing the minimum rebate for high-cost drugs, have the potential to significantly reduce federal spending over the next decade. In a recent study, Mylona et al. (<xref ref-type="bibr" rid="ref51">51</xref>) conducted a statewide cross-sectional analysis and found that beneficiaries of Medicare and Medicaid were significantly more likely to be obese than those with commercial insurance, with odds ratios of 1.26 (95% CI: 1.20&#x2013;1.32) and 1.27 (95% CI: 1.22&#x2013;1.32), respectively. Further research into the cost-effectiveness of these drugs, particularly in comparison to other treatment options (such as lifestyle interventions or bariatric surgery), is necessary to fully understand their value within the Medicaid system.</p>
<p>This study&#x2019;s findings are subject to several limitations due to the nature of the data obtained from the national Medicaid pharmacy database of CMS. One significant limitation is the absence of patient-specific data, which prevents an assessment of the effectiveness and tolerability of anti-obesity medications based on individual health outcomes. The lack of demographic information, such as age, gender, and comorbid conditions, restricts the ability to analyze how different population groups may have responded to the treatments. Additionally, our data does not include patient-specific prescription information, such as the number of treatment cycles patients received or the indications for which the prescriptions were given.</p>
<p>Tirzepatide was incorporated into our analysis because of its expanding usage and proven effectiveness in treating obesity; however, it should be noted that Zepbound was only approved in late 2023, thus only a quarter of the data was available for analysis. The completeness of our findings regarding tirzepatide&#x2019;s usage patterns in the treatment of obesity may have been compromised by these limitations. Additionally, the data lack state-level granularity, which prevents us from analyzing geographic variation in drug utilization or linking trends to specific Medicaid policies across states. Future studies using richer datasets with demographic and policy-level variables are needed to assess potential disparities in access and outcomes among Medicaid subpopulations.</p>
<p>Moreover, although Medicaid covers a considerable portion of the U.S. population, the results of this study are limited to Medicaid beneficiaries, who predominantly represent low- and middle-income individuals. Therefore, the generalizability of these findings to other populations, such as those with private insurance or the uninsured, is restricted. Additionally, expenditures are reported in nominal dollars (unadjusted for inflation); this approach reflects the actual financial outlays experienced by Medicaid in each respective year and is consistent with methodologies used in similar pharmacoepidemiologic research. However, it should be acknowledged that part of the long-term increase reflects inflation over 24&#x202F;years, although the majority of the growth is due to increased utilization of newer high-cost AOMs.</p>
<p>Lastly, the study does not account for external factors that could have influenced drug utilization patterns, such as marketing efforts by pharmaceutical companies. Notably, the COVID-19 pandemic may have contributed to an increased uptake of obesity treatments, as obesity became widely recognized as a risk factor for severe COVID-19 outcomes, along with other health complications. Furthermore, the introduction and proven efficacy and tolerability of newer medications, such as Wegovy and tirzepatide, have likely driven a significant rise in prescriptions, indicating the growing demand for effective obesity treatments. Despite these limitations, the study provides valuable insights into the pricing and utilization trends of anti-o.</p>
</sec>
<sec sec-type="conclusions" id="sec10">
<title>Conclusion</title>
<p>The findings of this study reveal a significant rise in Medicaid utilization and spending on anti-obesity medications from 1999 to 2023. The introduction of newer drugs, including Wegovy, Saxenda, and tirzepatide, contributed to this trend, with Wegovy and tirzepatide accounting for the majority of market share in 2023. Prescription numbers boosted by over 6,600% while spending soared due to rising drug prices and increased demand. These trends reflect the growing burden of obesity and the escalating costs of its treatment. Policymakers and healthcare providers must be aware of these dynamics to ensure fair access to effective therapies while addressing the financial challenges posed by the rising costs of these medications.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec11">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found at: Medicaid CMS.</p>
</sec>
<sec sec-type="author-contributions" id="sec12">
<title>Author contributions</title>
<p>AA: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MA: Data curation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. IA: Methodology, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. SA: Conceptualization, Resources, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. ZA: Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JG: Supervision, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec13">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by the Deanship of Graduate Studies and Scientific Research at Qassim University for financial support (QU-APC-2025).</p>
</sec>
<ack>
<p>The researchers would like to thank the Deanship of Graduate Studies and Scientific Research at Qassim University for financial support (QU-APC-2025).</p>
</ack>
<sec sec-type="COI-statement" id="sec14">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec15">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="sec16">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec17">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fmed.2025.1537181/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmed.2025.1537181/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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