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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Drug Saf. Regul.</journal-id>
<journal-title>Frontiers in Drug Safety and Regulation</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Drug Saf. Regul.</abbrev-journal-title>
<issn pub-type="epub">2674-0869</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1117674</article-id>
<article-id pub-id-type="doi">10.3389/fdsfr.2023.1117674</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Drug Safety and Regulation</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Balancing the evidence: An update on analgesic use in rheumatic and musculoskeletal diseases</article-title>
<alt-title alt-title-type="left-running-head">Huang et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fdsfr.2023.1117674">10.3389/fdsfr.2023.1117674</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Yun-Ting</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2127869/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>McCarthy</surname>
<given-names>Craig</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jani</surname>
<given-names>Meghna</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1268738/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Centre for Epidemiology Versus Arthritis</institution>, <institution>Centre for Musculoskeletal Research</institution>, <institution>University of Manchester</institution>, <addr-line>Manchester</addr-line>, <country>United Kingdom</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>NIHR Manchester Biomedical Research Centre</institution>, <institution>University of Manchester</institution>, <addr-line>Manchester</addr-line>, <country>United Kingdom</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/817763/overview">Enrique Roberto Soriano</ext-link>, Italian Hospital of Buenos Aires, Argentina</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1526608/overview">Dario Scublinsky</ext-link>, University of Buenos Aires, Argentina</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Meghna Jani, <email>meghna.jani@manchester.ac.uk</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Rheumatic Drug Safety, a section of the journal Frontiers in Drug Safety and Regulation</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>3</volume>
<elocation-id>1117674</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Huang, McCarthy and Jani.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Huang, McCarthy and Jani</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>
<p>Pain management has been a challenging issue for people living with rheumatic and musculoskeletal diseases (RMDs) and health professionals for decades. Pharmacological treatments remain a core element of pain management of inflammatory arthritis and osteoarthritis. Yet balancing the benefits/harms in pain management within RMDs can be difficult to navigate due to limited effective options, and emerging adverse events in a population where individual risk is important to consider due to patient multimorbidity, immunosuppression and polypharmacy. Paracetamol and non-steroidal anti-inflammatory drugs (NSAIDs) analgesics are widely used among RMD patients, however both classes of drugs have been associated with new safety concerns in the last two decades. Perhaps as a result in combination with multifactorial influences, opioid prescribing has increased from the 2000s&#x2013;2010s in the majority of RMD focussed studies, accompanied with a rising trend of long-term opioid use, despite limited evidence on efficacy. Gabapentinoids have also shown increasing trends more recently, despite an unclear role in chronic pain management for RMDs within current guidelines. Antidepressants are recommended as the first line of pharmacological treatment of chronic primary pain (e.g., fibromyalgia) by the latest National Institute for Health and Care Excellence (NICE) guideline released in April 2021. This concise narrative review will discuss pharmacological options for pain management, based on the latest evidence that includes the main analgesic drug classes: paracetamol, NSAIDs, opioids, antidepressants, and gabapentinoids. We will discuss the efficacy of these analgesics in RMDs and emerging safety concerns to enable more informed shared decisions with patients commencing such medications.</p>
</abstract>
<kwd-group>
<kwd>rheumatic and musculoskeletal diseases (RMDs)</kwd>
<kwd>pharmacological treatment</kwd>
<kwd>paracetamol (acetaminophen)</kwd>
<kwd>non-steroidal anti-inflammatory drugs (NSAIDs)</kwd>
<kwd>opioids</kwd>
<kwd>antidepressants</kwd>
<kwd>gabapentinoids</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Pain management in people living with RMDs has been a challenge to address for health professionals for decades. From the 2000s&#x2013;2010s (i.e., 2010-2019), there has been a considerable increase in the prescriptions of antidepressants (<xref ref-type="bibr" rid="B35">Ivanova et al., 2011</xref>; <xref ref-type="bibr" rid="B38">John et al., 2016</xref>), gabapentinoids (<xref ref-type="bibr" rid="B74">Torrance et al., 2020</xref>; <xref ref-type="bibr" rid="B44">Kuehn, 2022</xref>), and opioids (<xref ref-type="bibr" rid="B39">Kalso et al., 2004</xref>; <xref ref-type="bibr" rid="B36">Jani et al., 2020</xref>; <xref ref-type="bibr" rid="B5">Anastasiou and Yazdany, 2022</xref>) for pain management, especially chronic pain, worldwide. Recommendations for chronic pain internationally can vary considerably and are heterogeneous, depending on underlying conditions. According to the European Alliance of Associations for Rheumatology (EULAR) recommendations, pharmacological treatments continue to remain important in pain management of inflammatory arthritis and osteoarthritis (OA). The recent NICE guideline from April 2021 places more emphasis on non-pharmacological treatments and recommends antidepressants as the first-line pharmacological treatment of chronic primary pain (e.g., fibromyalgia) (<xref ref-type="bibr" rid="B54">National Institute for Health and Care Excellence, 2021a</xref>). The strategy for chronic pain caused by an underlying condition [e.g., rheumatoid arthritis (RA)] however is unclear in this guideline. Balancing the benefits and harms of pain medications within different RMDs can be difficult due to limited effective therapeutic options. These need to be considered with emerging adverse events in a population where individual risk is especially important because of the presence of multimorbidity, immunosuppression and polypharmacy.</p>
<p>Despite the widespread use of paracetamol and NSAIDs for pain control, evidence of new safety concerns has emerged in the last two decades. Other analgesics such as opioids and antidepressants have also drawn many investigations and discussion, while a few research focuses on the use of gabapentinoids. This concise narrative review will discuss pharmacological options for pain management in RMDs based on the latest evidence, with an emphasis on efficacy, potential adverse effects and safety concerns. Five main drug classes are included in this review and introduced in the following order: paracetamol, NSAIDs, opioids, antidepressants and gabapentinoids.</p>
</sec>
<sec id="s2">
<title>Paracetamol</title>
<p>Paracetamol is widely recommended for pain management, including by the World Health Organisation (<xref ref-type="bibr" rid="B81">WHO, 2019</xref>; <xref ref-type="bibr" rid="B28">Freo et al., 2021</xref>). Conditional recommendations of paracetamol are made by different organisations for pain conditions, including axial spondyloarthritis (AxSpA), low back pain (LBP), OA, musculoskeletal pain, headache, and cancer pain (<xref ref-type="bibr" rid="B28">Freo et al., 2021</xref>). For example, according to the NICE guideline, paracetamol is not recommended alone but is recommended in association with weak opioids for LBP (<xref ref-type="bibr" rid="B60">National Institute for Health and Clinical Excellence, 2016</xref>) (<xref ref-type="table" rid="T1">Table 1</xref>). For OA, both the American College of Rheumatology (ACR) and NICE recommend paracetamol to patients if NSAIDs and/or other pharmacological treatments fail (<xref ref-type="bibr" rid="B42">Kolasinski et al., 2019</xref>; <xref ref-type="bibr" rid="B56">National Institute for Health and Care Excellence, 2022a</xref>). Osteoarthritis Research Society International (OARSI), by contrast, does not recommend paracetamol in OA, given little to no efficacy with possible hepatotoxicity (<xref ref-type="bibr" rid="B9">Bannuru et al., 2019</xref>). Two geriatric societies&#x2014;the American Geriatric Society (AGS) (<xref ref-type="bibr" rid="B3">American Geriatrics Society Panel on Pharmacological Management of Persistent Pain in Older Persons, 2009</xref>) and British Geriatric Society (BGS) (<xref ref-type="bibr" rid="B2">Abdulla et al., 2013</xref>)&#x2014;recommend paracetamol for musculoskeletal pain in general among older adults (i.e., over 65&#xa0;years). The two guidelines however have not been updated recently as they were released in 2009 and 2013 respectively.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Guidelines on the use of analgesics for RMDs published or updated in the past 5&#xa0;years.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Condition</th>
<th align="left">Organisation/society</th>
<th align="left">First author, latest updated year</th>
<th align="left">Recommendation</th>
<th align="left">Comments</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="5" align="left">LBP</td>
<td rowspan="5" align="left">NICE</td>
<td align="left">
<xref ref-type="bibr" rid="B60">National Institute for Health and Clinical Excellence (2016)</xref>, 2020</td>
<td align="left">Paracetamol (CR)</td>
<td align="left">Not recommended alone, recommended in association with weak opioids</td>
</tr>
<tr>
<td rowspan="4" align="left"/>
<td align="left">NSAIDs (R)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">Weak opioids (CR)</td>
<td align="left">Recommended for acute LBP if NSAIDs fails</td>
</tr>
<tr>
<td align="left">Not recommended routinely for acute LBP</td>
</tr>
<tr>
<td align="left">Not recommended for chronic LBP</td>
</tr>
<tr>
<td align="left">Acute LBP</td>
<td rowspan="4" align="left">American College of Physicians</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B14">Chou et al. (2017)<sup>a</sup>
</xref>, 2017</td>
<td align="left">NSAIDs</td>
<td align="left">Small effects</td>
</tr>
<tr>
<td rowspan="3" align="left">Chronic LBP</td>
<td align="left">NSAIDs</td>
<td align="left">Small to moderate effects</td>
</tr>
<tr>
<td align="left">Opioids</td>
<td align="left">Tramadol with modest effects; others with small effects</td>
</tr>
<tr>
<td align="left">Duloxetine</td>
<td align="left">Small effects</td>
</tr>
<tr>
<td rowspan="3" align="left">AxSpA</td>
<td rowspan="3" align="left">ASAS-EULAR</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B78">van der Heijde et al. (2016)</xref>, 2016</td>
<td align="left">Paracetamol (CR)</td>
<td align="left">To be considered after NSAIDs failed</td>
</tr>
<tr>
<td align="left">NSAIDs (R)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Opioids (CR)</td>
<td align="left">To be considered after NSAIDs failed</td>
</tr>
<tr>
<td rowspan="4" align="left">OA</td>
<td rowspan="4" align="left">ACR</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B42">Kolasinski et al. (2019)</xref>, 2020</td>
<td align="left">Paracetamol (CR)</td>
<td align="left">Recommended for patients intolerant to NSAIDs, monitor liver function</td>
</tr>
<tr>
<td align="left">NSAIDs (R)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Tramadol (CR)</td>
<td align="left">Recommended for patients intolerant to NSAIDs</td>
</tr>
<tr>
<td align="left">Duloxetine (CR)</td>
<td align="left">Recommended for patients intolerant to NSAIDs</td>
</tr>
<tr>
<td rowspan="5" align="left">OA</td>
<td rowspan="5" align="left">NICE</td>
<td rowspan="5" align="left">
<xref ref-type="bibr" rid="B57">National Institute for Health and Care Excellence, (2022b)</xref>, 2022</td>
<td rowspan="2" align="left">Paracetamol (CR)</td>
<td align="left">To be considered after other pharmacological treatments failed</td>
</tr>
<tr>
<td align="left">Only infrequent use for short-term pain relief</td>
</tr>
<tr>
<td align="left">NSAIDs (R)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Weak opioids (CR)</td>
<td align="left">To be considered after other pharmacological treatments failed</td>
</tr>
<tr>
<td align="left">Only infrequent use for short-term pain relief</td>
</tr>
<tr>
<td rowspan="3" align="left">OA</td>
<td rowspan="3" align="left">OARSI</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B9">Bannuru et al. (2019)</xref>, 2019</td>
<td align="left">Paracetamol (CNR)</td>
<td align="left">Given a little to no efficacy in OA, with a signal for possible hepatotoxicity</td>
</tr>
<tr>
<td align="left">NSAIDs (R)</td>
<td align="left">Not recommended (oral) for patients with cardiovascular comorbidities or frailty</td>
</tr>
<tr>
<td align="left">Duloxetine (CR)</td>
<td align="left">To be considered for OA patients with widespread pain or depression</td>
</tr>
<tr>
<td align="left">RA</td>
<td align="left">NICE</td>
<td align="left">
<xref ref-type="bibr" rid="B58">National Institute for Health and Care Excellence, (2018)</xref>, 2020</td>
<td align="left">NSAIDs (R)</td>
<td align="left">To be considered carefully for patients taking low-dose aspirin</td>
</tr>
<tr>
<td align="left">Early arthritis</td>
<td align="left">EULAR</td>
<td align="left">
<xref ref-type="bibr" rid="B16">Combe et al. (2016)</xref>, 2017</td>
<td align="left">NSAIDs (R)</td>
<td align="left">To evaluate gastrointestinal, renal and cardiovascular risks before initiation</td>
</tr>
<tr>
<td rowspan="2" align="left">Chronic primary pain (e.g., fibromyalgia)</td>
<td rowspan="2" align="left">NICE</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B54">National Institute for Health and Care Excellence (2021a)</xref>, 2021</td>
<td rowspan="2" align="left">Antidepressants (R)</td>
<td align="left">Antidepressants include amitriptyline, citalopram, duloxetine, fluoxetine, paroxetine or sertraline</td>
</tr>
<tr>
<td align="left">To seek specialist advice if prescribing for young people aged 16&#x2013;17&#xa0;years</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>This guideline reports effectiveness rather than recommendations.</p>
</fn>
<fn>
<p>Abbreviations: ACR: american college of rheumatology; AxSpA: axial spondyloarthritis; CNR: conditionally not recommended; CR: conditionally recommended; EULAR: european alliance of associations for rheumatology; LBP: low back pain; NICE: national institute for health and care excellence; NSAIDs: Non-steroidal anti-inflammatory drugs; OA: osteoarthritis; OARSI: osteoarthritis research society international; R: recommended; RA: rheumatoid arthritis.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s2-1">
<title>Efficacy</title>
<p>There has been questionable effectiveness about the long-term use of paracetamol (<xref ref-type="bibr" rid="B28">Freo et al., 2021</xref>), with limited evidence supporting the efficacy of long-term use of paracetamol in RMDs (<xref ref-type="bibr" rid="B1">Abdel Shaheed et al., 2021</xref>). A systematic review showed paracetamol (4&#xa0;g/day for 3&#x2013;12&#xa0;weeks) provided modest pain relief by 3.23 points on a 0&#x2013;100-point pain scale (95% CI &#x3d; &#x2212;5.43, &#x2212;1.02) for people with knee or hip OA (<xref ref-type="bibr" rid="B46">Leopoldino et al., 2019</xref>). The rest of the RMDs, by contrast, lack high-quality evidence on efficacy, in which chronic LBP, RA, non-cancer pain in children and adolescents, and neuropathic pain are supported by very low-quality evidence. More importantly, the evidence from a previous Cochrane review concluded that paracetamol (up to 4&#xa0;g/day for up to 12&#xa0;weeks) was not effective in reducing acute LBP (<xref ref-type="bibr" rid="B66">Saragiotto et al., 2016</xref>). In light of a short follow-up ranging from a few hours to 2&#xa0;weeks after administration, most systematic reviews assessed the immediate treatment effect, making the effectiveness of paracetamol for chronic pain management in RMDs difficult to thoroughly evaluate.</p>
</sec>
<sec id="s2-2">
<title>Safety</title>
<p>Whilst generally deemed fairly safe there has been emerging evidence of specific adverse effects in chronic use (<xref ref-type="bibr" rid="B49">McCrae et al., 2018</xref>). Regular long-term use at higher doses has been associated with an increased risk of gastrointestinal (GI) bleeding and a small increase in systolic blood pressure (BP) (2&#x2013;4&#xa0;mmHg) (<xref ref-type="table" rid="T2">Table 2</xref>). Regular use of daily doses of &#x2265;2&#x2013;3&#xa0;g paracetamol was associated with a potentially increased risk of upper GI bleeding, with most being observational studies in participants aged 40 or older or in those with a history of ischemic stroke (<xref ref-type="bibr" rid="B30">Garc&#xed;a Rodr&#xed;guez and Hern&#xe1;ndez-D&#xed;az, 2001</xref>; <xref ref-type="bibr" rid="B31">Gonz&#xe1;lez-P&#xe9;rez and Rodr&#xed;guez, 2006</xref>; <xref ref-type="bibr" rid="B65">Rahme et al., 2008</xref>; <xref ref-type="bibr" rid="B21">Doherty et al., 2011</xref>; <xref ref-type="bibr" rid="B32">Gonzalez-Valcarcel et al., 2016</xref>). An randomised controlled trial (RCT) also supported a decrease in haemoglobin (&#x2265;1&#xa0;g/dl) at 13&#xa0;weeks observed in 20.3% of participants on the treatment of paracetamol 3&#xa0;g/day (<xref ref-type="bibr" rid="B21">Doherty et al., 2011</xref>). This effect was additive when combined with NSAIDs.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Safety concerns about the use of analgesics.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">First author, year</th>
<th align="left">Article/study</th>
<th align="left">Condition</th>
<th align="left">Dosage/regimen</th>
<th align="left">Comparator</th>
<th align="left">Outcome</th>
<th align="left">Relative effect (95% CI)</th>
<th align="left">No of participants (studies)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="8" align="left">Paracetamol&#x2014;GI effects</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B32">Gonzalez-Valcarcel et al. (2016)</xref>
</td>
<td align="left">Nested case-control</td>
<td align="left">Patients with a history of ischemic stroke or transient ischemic attack</td>
<td align="left">Oral; any use</td>
<td align="left">Non-use</td>
<td align="left">Major bleeding</td>
<td align="left">OR 1.60 (1.26, 2.03)</td>
<td align="left">809 cases vs. 1,616 controls</td>
</tr>
<tr>
<td rowspan="5" align="left">
<xref ref-type="bibr" rid="B21">Doherty et al. (2011)</xref>
</td>
<td rowspan="5" align="left">RCT</td>
<td rowspan="5" align="left">Community-derived people aged 40 &#x2b; years with chronic knee pain</td>
<td align="left">Oral; 13&#xa0;weeks</td>
<td rowspan="5" align="left">&#x2014;</td>
<td rowspan="5" align="left">Decrease in haemoglobin (&#x2265;1&#xa0;g/dl)</td>
<td align="left"/>
<td rowspan="5" align="left">892 (1)</td>
</tr>
<tr>
<td align="left">Paracetamol 3&#xa0;g/day</td>
<td align="left">20.3% (44/217)</td>
</tr>
<tr>
<td align="left">Ibuprofen 1.2&#xa0;g/day</td>
<td align="left">19.6% (43/219)</td>
</tr>
<tr>
<td align="left">Ibuprofen 600&#xa0;mg/day &#x2b; paracetamol 1.5&#xa0;g/day</td>
<td align="left">24.1% (53/220)</td>
</tr>
<tr>
<td align="left">Ibuprofen 1.2&#xa0;g/day &#x2b; paracetamol 3&#xa0;g/day</td>
<td align="left">38.4% (83/216)&#x2014;Twice than monotherapy (<italic>p</italic> &#x3c; 0.001)</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B65">Rahme et al. (2008)</xref>
</td>
<td align="left">Retrospective cohort</td>
<td align="left">Age of 65 &#x2b; years</td>
<td align="left">Oral; &#x3e;3&#xa0;g/day</td>
<td align="left">&#x2014;<xref ref-type="table-fn" rid="Tfn3">
<sup>b</sup>
</xref>
</td>
<td align="left">GI hospitalisation rates</td>
<td align="left">HR 1.20 (1.03, 1.40)</td>
<td align="left">644,183 (1)</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B31">Gonz&#xe1;lez-P&#xe9;rez and Rodr&#xed;guez, (2006)</xref>
</td>
<td align="left">Meta-analysis (case-control)</td>
<td align="left">&#x2014;</td>
<td align="left">Oral; any use</td>
<td align="left">Non-use</td>
<td align="left">Upper GI complications</td>
<td align="left">RR 1.3 (1.2, 1.5)</td>
<td align="left">&#x2013; (12)</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B30">Garc&#xed;a Rodr&#xed;guez and Hern&#xe1;ndez-D&#xed;az, (2001)</xref>
</td>
<td align="left">Nested case-control</td>
<td align="left">Age of 40&#x2013;79&#xa0;years and without cancer, esophageal varices, Mallory-Weiss disease, liver disease, coagulopathies, and alcohol- related disorders</td>
<td align="left">Oral; &#x3e;2&#xa0;g</td>
<td align="left">Non-use</td>
<td align="left">Upper GI complications</td>
<td align="left">RR 3.6 (2.6, 5.1)</td>
<td align="left">2,105 cases vs. 11,500 controls (1)</td>
</tr>
<tr>
<td colspan="8" align="left">Paracetamol&#x2014;BP effects</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B19">Dawson et al. (2013)</xref>
</td>
<td align="left">Retrospective cohort</td>
<td align="left">Patients with HTN aged 65 &#x2b; years</td>
<td align="left">Oral; any use</td>
<td align="left">Non-use</td>
<td align="left">Change in systolic BP (mmHg)</td>
<td align="left">1.6 (0.7, 2.5)</td>
<td align="left">2,754 acetaminophen-exposed</td>
</tr>
<tr>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B72">Sudano et al. (2010)</xref>
</td>
<td rowspan="2" align="left">RCT</td>
<td rowspan="2" align="left">Coronary artery disease</td>
<td rowspan="2" align="left">3&#xa0;g/day, 2&#xa0;weeks</td>
<td rowspan="2" align="left">Placebo</td>
<td align="left">Change in systolic BP (mmHg)</td>
<td align="left">3</td>
<td rowspan="2" align="left">33</td>
</tr>
<tr>
<td align="left">Change in diastolic BP (mmHg)</td>
<td align="left">2</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B27">Forman et al. (2007)</xref>
</td>
<td align="left">Prospective cohort (2&#xa0;years)</td>
<td align="left">Male health professionals without HTN</td>
<td align="left">6&#x2013;7&#xa0;days/week</td>
<td align="left">Non-use</td>
<td align="left">Incident HTN</td>
<td align="left">RR 1.34 (1.00, 1.79)</td>
<td align="left">16,031</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B45">Kurth et al. (2005)</xref>
</td>
<td align="left">Prospective cohort (14&#xa0;years)</td>
<td align="left">Men without HTN</td>
<td align="left">Cumulative use over 14&#xa0;years &#x2265;2,500 pills</td>
<td align="left">Non-use</td>
<td align="left">Incident HTN</td>
<td align="left">HR 1.08 (0.87, 1.34)</td>
<td align="left">8,229</td>
</tr>
<tr>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B20">Dedier et al. (2002)</xref>
</td>
<td rowspan="2" align="left">Prospective cohort (8&#xa0;years)</td>
<td rowspan="2" align="left">Women aged 44&#x2013;69&#xa0;years without HTN or chronic renal insufficiency</td>
<td align="left">1&#x2013;4&#xa0;days/month</td>
<td rowspan="2" align="left">Non-use</td>
<td rowspan="2" align="left">Incident HTN</td>
<td align="left">OR 1.07 (1.02, 1.13)</td>
<td rowspan="2" align="left">51,630</td>
</tr>
<tr>
<td align="left">&#x2265;22</td>
<td align="left">OR 1.20 (1.08, 1.33)</td>
</tr>
<tr>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B18">Curhan et al. (2002)</xref>
</td>
<td rowspan="3" align="left">Prospective cohort (2&#xa0;years)</td>
<td rowspan="3" align="left">Women aged 31&#x2013;50&#xa0;years without HTN</td>
<td align="left">1&#x2013;4&#xa0;days/month</td>
<td rowspan="3" align="left">Non-use</td>
<td rowspan="3" align="left">Incident HTN</td>
<td align="left">RR 1.19 (1.04, 1.36)</td>
<td rowspan="3" align="left">80,020</td>
</tr>
<tr>
<td align="left">&#x2265;22</td>
<td align="left">RR 2.00 (1.52, 2.62)</td>
</tr>
<tr>
<td align="left"/>
<td align="left">
<italic>p</italic> for trend: &#x3c;0.001</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B64">Radack et al. (1987)</xref>
</td>
<td align="left">RCT</td>
<td align="left">HTN</td>
<td align="left">4&#xa0;g/day, 3&#xa0;weeks</td>
<td align="left">Placebo</td>
<td align="left">Change in systolic BP (mmHg)</td>
<td align="left">0.2</td>
<td align="left">15</td>
</tr>
<tr>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B47">Lewis et al. (1986)</xref>
</td>
<td rowspan="2" align="left">Unblinded, three phase, crossover</td>
<td align="left">HTN</td>
<td rowspan="2" align="left">4&#xa0;g/day, 2&#xa0;weeks</td>
<td rowspan="2" align="left">&#x2014;</td>
<td rowspan="2" align="left">Change in systolic BP (mmHg)</td>
<td rowspan="2" align="left">&#x2212;6.5 (mean arterial pressure)</td>
<td rowspan="2" align="left">21</td>
</tr>
<tr>
<td align="left">OA</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B12">Chalmers et al. (1984)</xref>
</td>
<td align="left">RCT</td>
<td align="left">HTN OA</td>
<td align="left">3&#xa0;g/day, 4&#xa0;weeks</td>
<td align="left">Placebo</td>
<td align="left">Change in systolic BP (mmHg)</td>
<td align="left">4</td>
<td align="left">22</td>
</tr>
<tr>
<td colspan="8" align="left">NSAIDs</td>
</tr>
<tr>
<td rowspan="6" align="left">
<xref ref-type="bibr" rid="B8">Bally et al. (2017)</xref>
</td>
<td rowspan="6" align="left">Meta-analysis</td>
<td rowspan="6" align="left">Adults with acute myocardial infarction</td>
<td align="left">Any dose for 1&#x2013;7&#xa0;days</td>
<td rowspan="6" align="left">Non-use</td>
<td rowspan="6" align="left">Acute myocardial infarction</td>
<td align="left"/>
<td rowspan="6" align="left">446,763 (4)</td>
</tr>
<tr>
<td align="left">Celecoxib</td>
<td align="left">OR 1.24 (0.91, 1.82)</td>
</tr>
<tr>
<td align="left">Ibuprofen</td>
<td align="left">OR 1.48 (1.00, 2.26)</td>
</tr>
<tr>
<td align="left">Diclofenac</td>
<td align="left">OR 1.50 (1.06, 2.04)</td>
</tr>
<tr>
<td align="left">Naproxen</td>
<td align="left">OR 1.53 (1.07, 2.33)</td>
</tr>
<tr>
<td align="left">Rofecoxib</td>
<td align="left">OR 1.58 (1.07, 2.17)</td>
</tr>
<tr>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B13">Chan et al. (2017)</xref>
</td>
<td rowspan="2" align="left">RCT (CONCERN)</td>
<td rowspan="2" align="left">Arthritis pain not relieved by basic analgesics Previous upper-GI bleeding during NSAID use Requirement for low-dose aspirin, or multiple CV risk factors</td>
<td rowspan="2" align="left">Celecoxib 100&#xa0;mg BID (<italic>n</italic> &#x3d; 257)</td>
<td rowspan="2" align="left">Naproxen 500&#xa0;mg BID (<italic>n</italic> &#x3d; 257)</td>
<td align="left">Recurrent GI bleeding within 6&#xa0;months</td>
<td align="left">HR 0.44 (0.23, 0.82)</td>
<td align="left">514</td>
</tr>
<tr>
<td align="left">Serious CV events at 6&#xa0;months</td>
<td align="left">HR 0.78 (0.36, 1.73)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="7" align="left">
<xref ref-type="bibr" rid="B61">Nissen et al. (2016)</xref>
</td>
<td rowspan="7" align="left">RCT (PRECISION)</td>
<td rowspan="7" align="left">Age 18 &#x2b; years RA or OA requiring daily NSAIDs with high CV risk/established CV disease</td>
<td rowspan="7" align="left">Celecoxib 100&#xa0;mg BID (<italic>n</italic> &#x3d; 8,072)</td>
<td rowspan="7" align="left">Naproxen 375&#xa0;mg BID (<italic>n</italic> &#x3d; 7,969) or ibuprofen 600&#xa0;mg TID (<italic>n</italic> &#x3d; 8,040)</td>
<td rowspan="3" align="left">First occurrence of APTC event composite (non-inferiority)</td>
<td align="left">celecoxib vs. naproxen: HR 0.93 (0.76, 1.12)</td>
<td rowspan="7" align="left">24,081</td>
</tr>
<tr>
<td align="left">celecoxib vs. ibuprofen HR 0.85 (0.70, 1.04)</td>
</tr>
<tr>
<td align="left">ibuprofen vs. naproxen HR 1.08 (0.90, 1.31)</td>
</tr>
<tr>
<td rowspan="2" align="left">Clinically significant GI event</td>
<td align="left">celecoxib vs. naproxen HR 0.97 (0.67, 1.40)</td>
</tr>
<tr>
<td align="left">celecoxib vs. ibuprofen HR 0.76 (0.53, 1.08)</td>
</tr>
<tr>
<td rowspan="2" align="left">Clinically significant GI event &#x2b; iron-deficiency anemia of GI origin event</td>
<td align="left">celecoxib vs. naproxen HR 0.71 (0.54, 0.93)</td>
</tr>
<tr>
<td align="left">celecoxib vs. ibuprofen HR 0.65 (0.50, 0.85)</td>
</tr>
<tr>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B17">Combe et al. (2009)</xref>
</td>
<td rowspan="2" align="left">RCT (MEDAL)</td>
<td rowspan="2" align="left">Age 50 &#x2b; yearsRA or OA requiring chronic NSAIDs</td>
<td rowspan="2" align="left">Etoricoxib 90&#xa0;mg once daily (<italic>n</italic> &#x3d; 11,787)</td>
<td rowspan="2" align="left">Diclofenac 75&#xa0;mg BID (<italic>n</italic> &#x3d; 11,717)</td>
<td align="left">Thrombotic CV-event composite (non-inferiority)</td>
<td align="left">HR 0.96 (0.81, 1.15)</td>
<td rowspan="2" align="left">23,504</td>
</tr>
<tr>
<td align="left">Discontinuations due to GI adverse events</td>
<td align="left">HR 0.84 (0.63, 1.13)</td>
</tr>
<tr>
<td colspan="8" align="left">Opioids&#x2014;CNCP</td>
</tr>
<tr>
<td rowspan="6" align="left">
<xref ref-type="bibr" rid="B62">Nury et al. (2022)</xref>
</td>
<td rowspan="6" align="left">Meta-analysis (most RCTs)</td>
<td rowspan="6" align="left">CNCP and chronic LBP</td>
<td rowspan="6" align="left">Opioids from 4 to 15&#xa0;weeks</td>
<td rowspan="6" align="left">Placebo</td>
<td align="left">Any adverse events</td>
<td align="left">RR 1.20 (1.13, 1.28)</td>
<td align="left">&#x2014; (13) (low<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>)</td>
</tr>
<tr>
<td align="left">Nausea</td>
<td align="left">RR 1.86 (1.35, 2.56)</td>
<td align="left">&#x2014; (13) (very low<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>)</td>
</tr>
<tr>
<td align="left">Vomiting</td>
<td align="left">RR 3.26 (2.08, 5.09)</td>
<td align="left">&#x2014; (11) (low<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>)</td>
</tr>
<tr>
<td align="left">Constipation</td>
<td align="left">RR 2.73 (1.98, 3.77)</td>
<td align="left">&#x2014; (13) (low<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>)</td>
</tr>
<tr>
<td align="left">Dizziness</td>
<td align="left">RR 2.91 (2.17, 3.90)</td>
<td align="left">&#x2014; (10) (low<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>)</td>
</tr>
<tr>
<td align="left">Somnolence</td>
<td align="left">RR 3.47 (2.33, 5.17)</td>
<td align="left">&#x2014; (10) (low<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>)</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B11">Busse et al. (2018)</xref>
</td>
<td align="left">Meta-analysis (RCTs)</td>
<td align="left">CNCP</td>
<td align="left">Opioids from 1.5 to 4&#xa0;months</td>
<td align="left">Placebo</td>
<td align="left">Incidence of vomiting</td>
<td align="left">RR 2.50 (1.89, 3.30)</td>
<td align="left">5,961 (18)</td>
</tr>
<tr>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B51">Megale et al. (2018)</xref>
</td>
<td rowspan="2" align="left">Meta-analysis (RCTs)</td>
<td rowspan="2" align="left">Older adults with musculoskeletal pain</td>
<td rowspan="2" align="left">Opioids</td>
<td rowspan="2" align="left">Placebo</td>
<td align="left">Adverse events</td>
<td align="left">OR 2.94 (2.33, 3.72)</td>
<td rowspan="2" align="left">&#x2013;(23)</td>
</tr>
<tr>
<td align="left">Treatment discontinuation due to adverse events</td>
<td align="left">OR 4.04 (3.10, 5.25)</td>
</tr>
<tr>
<td colspan="8" align="left">Opioids&#x2014;RA</td>
</tr>
<tr>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B63">Ozen et al. (2019)</xref>
</td>
<td rowspan="2" align="left">Prospective</td>
<td rowspan="2" align="left">RA aged 40 &#x2b; years without prior fracture</td>
<td align="left">Weak opioids</td>
<td rowspan="2" align="left">Non-use</td>
<td rowspan="2" align="left">Incident fractures (vertebra, hip, forearm and humerus)</td>
<td align="left">HR 1.37 (1.18, 1.59)</td>
<td rowspan="2" align="left">11,412 (1)</td>
</tr>
<tr>
<td align="left">Strong opioids</td>
<td align="left">HR 1.53 (1.24, 1.88)</td>
</tr>
<tr>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B4">Anastasiou et al. (2019)</xref>
</td>
<td rowspan="3" align="left">&#x2014;<xref ref-type="table-fn" rid="Tfn3">
<sup>b</sup>
</xref>
</td>
<td rowspan="3" align="left">SLE and RA</td>
<td rowspan="3" align="left">&#x2014;</td>
<td rowspan="3" align="left">&#x2014;</td>
<td rowspan="3" align="left">Admissions due to opioid overdose</td>
<td align="left">SLE: RR 2.44 (1.99, 2.98)</td>
<td rowspan="3" align="left">Of 33,207,455 hospitalizations, 512,740 (1.5%) with RA and 147,480 (0.44%) with SLE</td>
</tr>
<tr>
<td align="left">RA: RR 1.47 (1.30, 1.67)</td>
</tr>
<tr>
<td align="left">Ref &#x3d; neither condition</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B79">Whittle et al. (2013)</xref>
</td>
<td align="left">Meta-analysis (RCTs)</td>
<td align="left">RA</td>
<td align="left">Opioids up to 6&#xa0;weeks</td>
<td align="left">Placebo</td>
<td align="left">Avoid harm (No. of withdrawals due to adverse events)</td>
<td align="left">RR 0.86 (0.79, 0.93) (favours placebo)</td>
<td align="left">324 (3)</td>
</tr>
<tr>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B80">Whittle et al. (2011)</xref>
</td>
<td rowspan="2" align="left">Meta-analysis (RCTs or CCTs)</td>
<td rowspan="2" align="left">RA</td>
<td rowspan="2" align="left">Opioids up to 6&#xa0;weeks</td>
<td rowspan="2" align="left">Placebo</td>
<td align="left">Withdrawal due to adverse events</td>
<td align="left">RR 2.67 (0.52, 13.75)</td>
<td align="left">331 (3) (low<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>)</td>
</tr>
<tr>
<td align="left">Report adverse events</td>
<td align="left">OR 3.90 (2.31, 6.56)</td>
<td align="left">371 (4) (low<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>)</td>
</tr>
<tr>
<td colspan="8" align="left">Opioids&#x2014;OA</td>
</tr>
<tr>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B40">Kawai et al. (2022)</xref>
</td>
<td rowspan="2" align="left">RCT</td>
<td rowspan="2" align="left">OA</td>
<td rowspan="2" align="left">Tramadol 100&#x2013;300&#xa0;mg/d, 4&#xa0;weeks</td>
<td rowspan="2" align="left">Placebo</td>
<td rowspan="2" align="left">Any adverse events</td>
<td align="left">Tramadol: 38.5% (30/78)</td>
<td rowspan="2" align="left">159 (1)</td>
</tr>
<tr>
<td align="left">Placebo: 13.6% (11/81)</td>
</tr>
<tr>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B43">Krebs et al. (2018)</xref>
</td>
<td rowspan="3" align="left">RCT</td>
<td rowspan="3" align="left">OA</td>
<td rowspan="3" align="left">Opioids, 12&#xa0;months</td>
<td rowspan="3" align="left">Non-opioids</td>
<td rowspan="3" align="left">Adverse medication-related symptoms</td>
<td align="left">Opioids: mean (SD) &#x3d; 1.8 (2.6)</td>
<td rowspan="3" align="left">240 (1)</td>
</tr>
<tr>
<td align="left">Non-opioids: mean (SD) &#x3d; 0.9 (1.8)</td>
</tr>
<tr>
<td align="left">Between-Group Difference &#x3d; 0.9 (95% CI &#x3d; 0.3, 1.5) (overall <italic>p</italic> &#x3d; 0.03)</td>
</tr>
<tr>
<td rowspan="6" align="left">
<xref ref-type="bibr" rid="B68">Serrie et al. (2017)</xref>
</td>
<td rowspan="6" align="left">RCT</td>
<td rowspan="6" align="left">OA</td>
<td rowspan="6" align="left">Tapentadol PR 50&#x2013;250&#xa0;mg BID, oxycodone CR 10&#x2013;50&#xa0;mg BID; 15&#xa0;weeks</td>
<td rowspan="6" align="left">Placebo</td>
<td rowspan="3" align="left">Any adverse event</td>
<td align="left">Placebo: 55.5% (187/337)</td>
<td rowspan="6" align="left">990 (1)</td>
</tr>
<tr>
<td align="left">Tapentadol: 67.1% (214/319)</td>
</tr>
<tr>
<td align="left">Oxycodone: 84.9% (281/331)</td>
</tr>
<tr>
<td rowspan="3" align="left">Any adverse event causing study discontinuation</td>
<td align="left">Placebo: 8% (27/337)</td>
</tr>
<tr>
<td align="left">Tapentadol: 18.8% (60/319)</td>
</tr>
<tr>
<td align="left">Oxycodone: 42.3% (140/331)</td>
</tr>
<tr>
<td rowspan="6" align="left"> <xref ref-type="bibr" rid="B23">Etropolski et al. (2014)</xref>
</td>
<td rowspan="6" align="left">Meta-analysis (RCTs)</td>
<td rowspan="6" align="left">OA</td>
<td rowspan="6" align="left">Tapentadol ER 100&#x2013;250&#xa0;mg BID, oxycodone CR 20&#x2013;50&#xa0;mg BID; from 15&#xa0;weeks to 1&#xa0;year</td>
<td rowspan="6" align="left">Placebo</td>
<td rowspan="3" align="left">Incidences of GI treatment-emergent adverse event</td>
<td align="left">Placebo: 26.6% (264/993)</td>
<td rowspan="6" align="left">4,091 (1)</td>
</tr>
<tr>
<td align="left">Tapentadol: 47.3% (887/1874)</td>
</tr>
<tr>
<td align="left">Oxycodone: 65.4% (800/1224)</td>
</tr>
<tr>
<td rowspan="3" align="left">Incidences of nervous system treatment-emergent adverse event</td>
<td align="left">Placebo: 22.5% (223/993)</td>
</tr>
<tr>
<td align="left">Tapentadol: 42.6% (799/1874)</td>
</tr>
<tr>
<td align="left">Oxycodone: 45.1% (552/1224)</td>
</tr>
<tr>
<td colspan="8" align="left">Antidepressants</td>
</tr>
<tr>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B25">Ferraro et al. (2021)</xref>
</td>
<td rowspan="2" align="left">Meta-analysis (RCTs)</td>
<td rowspan="2" align="left">Adults with LBP</td>
<td rowspan="2" align="left">Any use</td>
<td rowspan="2" align="left">Placebo</td>
<td align="left">Acceptability (all-cause discontinuation)</td>
<td align="left">OR 1.27 (1.03, 1.56)</td>
<td align="left">&#x2013; (14)</td>
</tr>
<tr>
<td align="left">Tolerability (discontinuation due to adverse effects)</td>
<td align="left">OR 2.39 (1.71, 3.34)</td>
<td align="left">&#x2013; (10)</td>
</tr>
<tr>
<td rowspan="5" align="left">
<xref ref-type="bibr" rid="B26">Ferreira et al. (2021)</xref>
</td>
<td rowspan="5" align="left">Meta-analysis (RCTs)</td>
<td rowspan="5" align="left">Participants with LBP, neck pain, sciatica, or hip or knee OA</td>
<td align="left">SNRI</td>
<td rowspan="5" align="left">Placebo</td>
<td rowspan="5" align="left">Any adverse event<xref ref-type="table-fn" rid="Tfn4">
<sup>c</sup>
</xref>
</td>
<td align="left">RR 1.23 (1.16, 1.30)</td>
<td align="left">&#x2013; (13) (low<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>)</td>
</tr>
<tr>
<td align="left">SSRI</td>
<td align="left">RR 1.53 (0.19, 12.61)</td>
<td align="left">&#x2013; (2) (very low<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>)</td>
</tr>
<tr>
<td align="left">TCAs</td>
<td align="left">RR 1.49 (0.95, 2.34)</td>
<td align="left">&#x2013; (8) (low<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>)</td>
</tr>
<tr>
<td align="left">Tetracyclic antidepressants</td>
<td align="left">RR 0.96 (0.79, 1.16)</td>
<td align="left">&#x2013; (1) (low<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>)</td>
</tr>
<tr>
<td align="left">NDRI</td>
<td align="left">RR 2.80 (1.30, 6.02)</td>
<td align="left">&#x2013; (1) (low<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>)</td>
</tr>
<tr>
<td rowspan="6" align="left">
<xref ref-type="bibr" rid="B33">Hauser et al. (2012)</xref>
</td>
<td rowspan="6" align="left">Meta-analysis (RCTs)</td>
<td rowspan="6" align="left">Patients with fibromyalgia syndrome</td>
<td align="left">SNRI</td>
<td rowspan="3" align="left">Placebo</td>
<td rowspan="3" align="left">Acceptability (total treatment discontinuation rates)</td>
<td align="left">RR 0.98 (0.84, 1.14)</td>
<td align="left">6,063 (10)</td>
</tr>
<tr>
<td align="left">SSRI</td>
<td align="left">RR 1.36 (0.79, 2.36)</td>
<td align="left">414 (7)</td>
</tr>
<tr>
<td align="left">TCAs</td>
<td align="left">RR 0.76 (0.54, 1.07)</td>
<td align="left">708 (11)</td>
</tr>
<tr>
<td align="left">SNRI</td>
<td rowspan="3" align="left">Placebo</td>
<td rowspan="3" align="left">Tolerability (dropout rates due to adverse events)</td>
<td align="left">RR 1.83 (1.53, 2.18)</td>
<td align="left">6,509 (10)</td>
</tr>
<tr>
<td align="left">SSRI</td>
<td align="left">RR 1.60 (0.84, 3.04)</td>
<td align="left">392 (7)</td>
</tr>
<tr>
<td align="left">TCAs</td>
<td align="left">RR 0.84 (0.46, 1.52)</td>
<td align="left">691 (10)</td>
</tr>
<tr>
<td colspan="8" align="left">Gabapentinoids</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B74">Torrance et al. (2020)</xref>
</td>
<td align="left">Trend</td>
<td align="left">Individuals with at least one prescription for gabapentin or pregabalin</td>
<td align="left">Gabapentinoids</td>
<td align="left">Non-use</td>
<td align="left">Age-standardised death rate</td>
<td align="left">RR 2.16 (2.08, 2.25)</td>
<td align="left">785,800 (1)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn2">
<label>
<sup>a</sup>
</label>
<p>Certainty of evidence.</p>
</fn>
<fn id="Tfn3">
<label>
<sup>b</sup>
</label>
<p>Information was not available due to a lack of full-text, or just a published abstract.</p>
</fn>
<fn id="Tfn4">
<label>
<sup>c</sup>
</label>
<p>Adverse events were defined by each study and varied noticeably across trials, such as nausea (most prevalent), somnolence, back pain, diarrhoea, dizziness, dyspnea, muscular weakness, non-cardiac chest pain, hypoaesthesia, transient ischaemic attack, myocardial infarction, hypertensive encephalopathy, osteoarthritis and so on.</p>
</fn>
<fn>
<p>Abbreviations: APTC: Antiplatelet Trialists&#x2019; Collaboration; BID: two times a day; BP: blood pressure; CCT: Quasi-randomized controlled trial; CI: confidence interval; CNCP: Chronic non-cancer pain; CR: controlled release; ER: extended release; GI: gastrointestinal; HR: hazard ratio; HTN: hypertension; MACE: major cardiovascular events; MD: mean difference; NDRI: Noradrenaline-dopamine reuptake inhibitors; OR: odds ratio; PR: prolonged release; RCT: randomised controlled trial; RR: risk ratio; SLE: systemic lupus erythematosus; SNRI: Serotonin-noradrenaline reuptake inhibitors; SSRI: selective serotonin reuptake inhibitors; TCA: tricyclic antidepressants; TID: three times a day; WOMAC: Western Ontario and McMaster Universities Osteoarthritis Index.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>BP increase has been another emerging concern with paracetamol (<xref ref-type="bibr" rid="B75">Turtle et al., 2013</xref>). The earliest study published in 1984 found an average of 4&#xa0;mmHg increase in systolic BP when 3&#xa0;g of paracetamol daily was administered for 4&#xa0;weeks among patients with hypertension or OA (<xref ref-type="bibr" rid="B12">Chalmers et al., 1984</xref>). Subsequent RCTs had small sample sizes and showed inconsistent results, of which some supported an increase in BP (<xref ref-type="bibr" rid="B64">Radack et al., 1987</xref>; <xref ref-type="bibr" rid="B72">Sudano et al., 2010</xref>) but some against (<xref ref-type="bibr" rid="B47">Lewis et al., 1986</xref>). Similarly, most of the observational studies suggested that paracetamol in long-term use increased the risk of developing hypertension (<xref ref-type="bibr" rid="B18">Curhan et al., 2002</xref>; <xref ref-type="bibr" rid="B20">Dedier et al., 2002</xref>; <xref ref-type="bibr" rid="B27">Forman et al., 2007</xref>), with some conflicting evidence (<xref ref-type="bibr" rid="B45">Kurth et al., 2005</xref>; <xref ref-type="bibr" rid="B19">Dawson et al., 2013</xref>). Whilst several observational studies showed an association, the pain was often not measured and adjusted accordingly. An important confounding&#x2014;uncontrolled pain could lead to high BP&#x2014;of observational studies, however, would underestimate the association between paracetamol use and the change in BP, given the baseline BP might be higher. This could possibly explain the non-significant finding of the change in systolic BP in a cohort study (<xref ref-type="bibr" rid="B19">Dawson et al., 2013</xref>). The most recent NICE guideline defines hypertension as 140/90&#xa0;mmHg and above, with a 10% or greater risk of developing cardiovascular disease (CVD) within the next 10&#xa0;years (<xref ref-type="bibr" rid="B73">The Lancet, 2019</xref>; <xref ref-type="bibr" rid="B55">National Institute for Health and Care Excellence, 2019</xref>). A small increase in BP may be clinically important, especially for those with an increased baseline CVD risk. However, studies to date do not demonstrate these modest increase in BP has led to an increase in clinical endpoints such as stroke or myocardial infarctions (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>Non-steroidal anti-inflammatory drugs (NSAIDs)</title>
<p>NSAIDs have been approved to be prescribed for a variety of conditions, including OA, RA, AxSpA, migraine, and mild to moderate acute/chronic pain, within different guidelines (<xref ref-type="bibr" rid="B16">Combe et al., 2016</xref>; <xref ref-type="bibr" rid="B60">National Institute for Health and Clinical Excellence, 2016</xref>; <xref ref-type="bibr" rid="B78">van der Heijde et al., 2016</xref>; <xref ref-type="bibr" rid="B58">National Institute for Health and Care Excellence, 2018</xref>; <xref ref-type="bibr" rid="B9">Bannuru et al., 2019</xref>; <xref ref-type="bibr" rid="B42">Kolasinski et al., 2019</xref>; <xref ref-type="bibr" rid="B52">Mei et al., 2020</xref>; <xref ref-type="bibr" rid="B57">National Institute for Health and Care Excellence, 2022b</xref>). The efficacy of NSAID treatments is indisputable, this review therefore will not put too much emphasis on it. Chronic NSAID use is defined as taking NSAIDs more than three times a week for more than 3&#xa0;months. NSAIDs in chronic use have notably been reported for more than 29 million American adults (<xref ref-type="bibr" rid="B83">Zhou et al., 2014</xref>). The selection of an appropriate NSAID depends on patients&#x2019; profile, potential adverse effects, pharmacokinetic/pharmacodynamic properties, cost, and availability. The long-term use of NSAIDs has been associated with CV, GI, renal, skeletal muscle (e.g., interfere with muscle repair and fracture healing) and liver risks (<xref ref-type="bibr" rid="B48">Marcum and Hanlon, 2010</xref>; <xref ref-type="bibr" rid="B71">Sostres and Lanas, 2016</xref>; <xref ref-type="bibr" rid="B52">Mei et al., 2020</xref>). In recent years, there has been new evidence on the safety between COX2-selective and non-selective NSAIDs for chronic pain management, with a focus on GI and CV risks (<xref ref-type="bibr" rid="B34">Ho et al., 2018</xref>), which will be discussed in the next section.</p>
<sec id="s3-1">
<title>Safety</title>
<p>The PRECISION study (<xref ref-type="bibr" rid="B61">Nissen et al., 2016</xref>) was the first study using NSAIDs in high-CV-risk patients with OA or RA to assess the CV risk of COX2-selective (i.e., celecoxib 200&#xa0;mg/day) and non-selective NSAIDs (i.e., ibuprofen 1,800&#xa0;mg/day or naproxen 750&#xa0;mg/day) (<xref ref-type="table" rid="T2">Table 2</xref>). Similar CV-event rates were observed between celecoxib vs. naproxen and ibuprofen (hazard ratio (HR) for celecoxib vs. naproxen: 0.90, 95% CI &#x3d; 0.71, 1.15; HR for celecoxib vs. ibuprofen: 0.81, 95% CI &#x3d; 0.65, 1.02), but GI tolerability was better for celecoxib (serious GI events: HR for celecoxib vs. naproxen: 0.71, 95% CI &#x3d; 0.54, 0.93; HR for celecoxib vs. ibuprofen: 0.65, 95% CI &#x3d; 0.50, 0.85) (<xref ref-type="bibr" rid="B61">Nissen et al., 2016</xref>). The risk of renal events was significantly lower with celecoxib than with ibuprofen but not with naproxen. The MEDAL program (<xref ref-type="bibr" rid="B17">Combe et al., 2009</xref>) that evaluated long-term use of COX2-selective NSAIDs also reported no difference in risk of thrombotic CV events in arthritis patients on long-term therapy with etoricoxib (90&#xa0;mg/day) compared to diclofenac (150&#xa0;mg/day). Despite the reassuring results, an increase in BP was noticed in both groups, and the rate of discontinuation due to hypertension was higher in the etoricoxib group (<xref ref-type="bibr" rid="B17">Combe et al., 2009</xref>). The CONCERN study (<xref ref-type="bibr" rid="B13">Chan et al., 2017</xref>) assessed the risk of GI events between COX2-selective (i.e., celecoxib 200&#xa0;mg/day) and non-selective NSAIDs (i.e., naproxen 1,000&#xa0;mg/day), both in combination with a prophylactic proton pump inhibitor. This trial included arthritis patients who had cardiothrombotic diseases requiring low-dose aspirin and a history of upper-GI-tract bleeding and followed up recurrent upper-GI-tract bleeding for 18&#xa0;months. Celecoxib was found to be associated with fewer adverse GI-tract events than naproxen (HR &#x3d; 0.44, 95% CI &#x3d; 0.23, 0.82).</p>
<p>Over the last two decades, an increase in CVD risk has been the major concern with NSAIDs especially following two COX2-selective NSAIDs, rofecoxib and valdecoxib, were withdrawn from the market in 2004 and 2005 and deemed unsafe (<xref ref-type="bibr" rid="B77">U.S. Food and Drug Administration, 2018</xref>). Additionally in 2013, following a Europe-wide review of CVD safety, diclofenac was issued safety warnings and contraindicated in patients with established ischaemic heart disease, peripheral arterial disease, cerebrovascular disease and congestive heart failure (<xref ref-type="bibr" rid="B50">Medicines and Healthcare products Regulatory Agency, 2014</xref>; <xref ref-type="bibr" rid="B22">Coxib and traditional NSAID Trialists&#x27; (CNT) Collaboration Emberson et al., 2013</xref>; <xref ref-type="bibr" rid="B67">Schmidt et al., 2018</xref>). Regarding the newer COX2-selective NSAIDs, reassuringly a meta-analysis (<xref ref-type="bibr" rid="B8">Bally et al., 2017</xref>) showed no significant difference in the rate of acute myocardial infarction between celecoxib and non-selective NSAIDs, and celecoxib was the only COX2-selective NSAID with a lower risk of adverse CV and GI events compared with non-selective NSAIDs. The risk was greatest during the first month of NSAID use and with higher doses. Summarising the latest evidence it indicates that long-term use of celecoxib 200&#xa0;mg/day may be considered for patients at increased CV risk, given the comparable risk of CV events and favourable profile of GI adverse events compared to non-selective NSAIDs (<xref ref-type="bibr" rid="B8">Bally et al., 2017</xref>). The 2007 scientific statement from the American Heart Association, however, advised that COX2 inhibitors should be used at the lowest possible dose and for the shortest possible time to minimise the risk of CV events until more long-term data on CV safety is available (<xref ref-type="bibr" rid="B6">Antman et al., 2007</xref>). In patients where vascular risks are a concern, the safest option appears to be naproxen when compared to other NSAIDs (<xref ref-type="bibr" rid="B22">Coxib and traditional NSAID Trialists&#x27; (CNT) Collaboration Emberson et al., 2013</xref>), emphasising the need to personalise the approach to prescribing all analgesics based on an individual&#x2019;s baseline risk.</p>
</sec>
</sec>
<sec id="s4">
<title>Opioids</title>
<p>Opioid prescribing is increasing for chronic non-cancer pain (CNCP) in high-income countries over the last few decades (<xref ref-type="bibr" rid="B36">Jani et al., 2020</xref>; <xref ref-type="bibr" rid="B37">Jani et al., 2021</xref>). Whilst use in acute pain has been well established, chronic/long-term use has been subject to considerable controversy in recent years due to its downstream adverse outcomes (<xref ref-type="bibr" rid="B39">Kalso et al., 2004</xref>).</p>
<sec id="s4-1">
<title>Efficacy</title>
<p>Recent evidence from a meta-analysis suggests that opioid use was associated with statistically significant but small clinical improvements in pain and physical functioning/disability among people with CNCP, accompanied by a higher risk of adverse effects (<xref ref-type="bibr" rid="B11">Busse et al., 2018</xref>). Opioid use was associated with reduced pain [weighted mean difference (WMD) &#x3d; &#x2212;0.69&#xa0;cm (95% CI &#x3d; &#x2212;0.82, &#x2212;0.56) on a 10-cm visual analogue scale] and improved physical functioning [WMD &#x3d; 2.04 points (95% CI &#x3d; 1.41, 2.68) on the 100-point 36-item short form physical component score] compared to the placebo (<xref ref-type="bibr" rid="B11">Busse et al., 2018</xref>). Compared with non-opioid alternatives including NSAIDs, tricyclic antidepressants (TCAs), or anticonvulsants, opioids showed similar associations with improvements in pain and physical functioning, with low-to moderate-quality evidence only (<xref ref-type="bibr" rid="B11">Busse et al., 2018</xref>). Another meta-analysis focusing on chronic LBP reported the short-term (4&#x2013;15&#xa0;weeks) use of strong opioids might have clinically relevant reductions in pain compared to placebo (<xref ref-type="bibr" rid="B62">Nury et al., 2022</xref>). However even short-term use was associated with increases in GI and nervous system adverse events.</p>
<p>Despite frequent long-term opioid use for CNCP management in RMDs, there has been no scientific evidence to support its efficacy but with increasing evidence of adverse events in this population (<xref ref-type="bibr" rid="B5">Anastasiou and Yazdany, 2022</xref>). To date, there is limited evidence on the efficacy and safety of opioid use in RA and SLE, with scarce data in other RMDs (<xref ref-type="bibr" rid="B5">Anastasiou and Yazdany, 2022</xref>). Research on RA cohorts supported weak opioids in short-term (&#x3c;6&#xa0;weeks) use for pain control, with a relative risk (RR) &#x3d; 1.40 (95% CI &#x3d; 1.07, 1.85) that favours opioids over placebo (<xref ref-type="bibr" rid="B79">Whittle et al., 2013</xref>). Opioids were also superior to placebo in RA patient-reported global impression of change, with an absolute risk difference of 18% (95% CI &#x3d; 1, 41), a relative percent change of 44% (95% CI &#x3d; 3, 103), and numbers needed to treat (NNT) as 6 (95% CI &#x3d; 3, 84) (<xref ref-type="bibr" rid="B80">Whittle et al., 2011</xref>). In OA, an RCT examining chronic opioid therapy for moderate to severe chronic back pain or hip or knee OA found no significant difference in pain-related function over 12&#xa0;months (<xref ref-type="bibr" rid="B43">Krebs et al., 2018</xref>). The pain intensity was however significantly better in the non-opioid analgesic group which also had fewer adverse medication-related symptoms (<xref ref-type="bibr" rid="B43">Krebs et al., 2018</xref>). For inflammatory RMDs that require biologic disease-modifying antirheumatic drugs (DMARDs) treatments, early opioids may improve pain in the short term, resulting in delayed DMARD initiation or reduced DMARD use (<xref ref-type="bibr" rid="B10">Boytsov et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Kimsey et al., 2019</xref>).</p>
</sec>
<sec id="s4-2">
<title>Safety</title>
<p>Opioid use was related to increased vomiting (RR &#x3d; 2.50, 95% CI &#x3d; 1.89, 3.30) among people with CNCP (<xref ref-type="bibr" rid="B11">Busse et al., 2018</xref>). Opioid treatments also showed 3 times higher odds of adverse events (OR &#x3d; 2.94, 95% CI &#x3d; 2.33, 3.72) and 4 times higher odds of treatment discontinuation due to adverse events (OR &#x3d; 4.04, 95%CI &#x3d; 3.10, 5.25) among older adults with musculoskeletal pain (<xref ref-type="bibr" rid="B51">Megale et al., 2018</xref>).</p>
<p>There has been limited RMD-specific research on opioid safety for pain management, in which RA and OA are the most commonly studied. For RA patients, opioids in short-term use were more likely to report adverse events such as nausea, vomiting, dizziness and constipation (OR &#x3d; 3.90, 95% CI &#x3d; 2.31, 6.56) (<xref ref-type="bibr" rid="B80">Whittle et al., 2011</xref>), but the risk of withdrawals due to adverse events was inconsistent between studies (<xref ref-type="bibr" rid="B80">Whittle et al., 2011</xref>; <xref ref-type="bibr" rid="B79">Whittle et al., 2013</xref>). Opioid use was also associated with an increased risk of fracture in the RA cohort, with a greater risk observed in strong opiates (HR &#x3d; 1.53, 95% CI &#x3d; 1.24, 1.88) than in weak opiates (HR &#x3d; 1.37, 95% CI &#x3d; 1.18, 1.59) (<xref ref-type="bibr" rid="B63">Ozen et al., 2019</xref>). Moreover, both RA and systemic lupus erythematosus (SLE) patients had a higher risk of hospital admissions due to opioid overdose compared to other hospitalisations (<xref ref-type="bibr" rid="B4">Anastasiou et al., 2019</xref>). Regarding OA, several RCTs have shown that patients receiving opioid treatments experience more adverse events and have higher proportions of dropout due to adverse events than those on placebo or non-opioids (<xref ref-type="bibr" rid="B23">Etropolski et al., 2014</xref>; <xref ref-type="bibr" rid="B68">Serrie et al., 2017</xref>; <xref ref-type="bibr" rid="B43">Krebs et al., 2018</xref>; <xref ref-type="bibr" rid="B40">Kawai et al., 2022</xref>). In the 12th&#xa0;month, patients on opioids had a significant increase in medication-related symptoms by 0.9 (95% CI &#x3d; 0.3, 1.5) compared to those on non-opioid treatments (<xref ref-type="bibr" rid="B43">Krebs et al., 2018</xref>). Previous work also suggested that tapentadol PR seemingly had a better GI tolerability profile (GI adverse event &#x3d; 47.3%) than oxycodone CR (GI adverse event &#x3d; 65.4%) (<xref ref-type="bibr" rid="B23">Etropolski et al., 2014</xref>; <xref ref-type="bibr" rid="B68">Serrie et al., 2017</xref>) (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<p>To date, there are only a few studies investigating long-term opioid therapy for more than 6&#xa0;months, with no study following up more than 1&#xa0;year (<xref ref-type="bibr" rid="B15">Chou et al., 2015</xref>; <xref ref-type="bibr" rid="B43">Krebs et al., 2018</xref>; <xref ref-type="bibr" rid="B62">Nury et al., 2022</xref>). Long-term opioid therapy (defined in this study as &#x2265;6&#xa0;months) for CNCP appears not to be superior to non-opioids in improvements of pain, disability, or pain-related function but shows more adverse events, including treatment discontinuation, opioid abuse or dependence and all-cause mortality (<xref ref-type="bibr" rid="B43">Krebs et al., 2018</xref>; <xref ref-type="bibr" rid="B62">Nury et al., 2022</xref>). In addition, there is no study evaluating the long-term effectiveness of different opioid dosing strategies such as short- plus long-acting opioids vs. long-acting opioids alone (<xref ref-type="bibr" rid="B15">Chou et al., 2015</xref>). In light of a lack of evidence demonstrating consistently improved pain control with long-term opioid use in RMDs but with increased risks of adverse events, the current evidence strongly suggests that opioids do not have a routine role in the CNCP management of inflammatory rheumatic diseases (<xref ref-type="bibr" rid="B5">Anastasiou and Yazdany, 2022</xref>).</p>
</sec>
</sec>
<sec id="s5">
<title>Antidepressants</title>
<sec id="s5-1">
<title>Chronic pain conditions (except fibromyalgia)&#x2014;Efficacy and safety</title>
<p>Antidepressants for the treatment of LBP (<xref ref-type="bibr" rid="B25">Ferraro et al., 2021</xref>) and OA (<xref ref-type="bibr" rid="B26">Ferreira et al., 2021</xref>) have been found associated with small reductions in pain intensity or disability scores but the effect on pain might not be clinically important. In the meta-analysis assessing LBP (<xref ref-type="bibr" rid="B25">Ferraro et al., 2021</xref>), antidepressants showed a reduction of 4.33 points (95% CI &#x3d; &#x2212;6.15, &#x2212;2.50, on a 0&#x2013;100 scale) in pain intensity but had increased odds of stopping treatment for any reason (OR &#x3d; 1.27, 95% CI &#x3d; 1.03, 1.56) or due to adverse effects (OR &#x3d; 2.39, 95% CI &#x3d; 1.71, 3.34). In the meta-analysis evaluating back pain and OA (<xref ref-type="bibr" rid="B26">Ferreira et al., 2021</xref>), serotonin and norepinephrine reuptake inhibitors (SNRIs) reduced back pain by 5.30 points (95% CI &#x3d; &#x2212;7.31, &#x2212;3.30, on a 0&#x2013;100 scale, moderate evidence level) and OA pain by 9.72 points (95% CI &#x3d; &#x2212;12.75, &#x2212;6.69, low evidence level) at 3&#x2013;13&#xa0;weeks. SNRIs were also found to decrease disability from back pain at 3&#x2013;13&#xa0;weeks (&#x2212;3.55, 95% CI &#x3d; &#x2212;5.22, &#x2212;1.88) and disability due to OA at 2&#xa0;weeks or less (&#x2212;5.10, 95% CI &#x3d; &#x2212;7.31, &#x2212;2.89), with moderate evidence level respectively (<xref ref-type="bibr" rid="B26">Ferreira et al., 2021</xref>). Despite the efficacy, SNRIs were related to a high risk of adverse effects (RR &#x3d; 1.23, 95% CI &#x3d; 1.16, 1.30). Adverse events in this meta-analysis referred to various symptoms such as nausea (most prevalent), somnolence, back pain, diarrhoea, dizziness, transient ischaemic attack, and myocardial infarction, because they were defined by each study and varied noticeably across trials (<xref ref-type="bibr" rid="B69">Skljarevski et al., 1976</xref>; <xref ref-type="bibr" rid="B70">Skljarevski et al., 2009</xref>; <xref ref-type="bibr" rid="B26">Ferreira et al., 2021</xref>). TCAs and other antidepressants, by contrast, did not reduce pain or disability from back pain and had no available information about the treatment of OA.</p>
<p>The current evidence on the efficacy of antidepressants for musculoskeletal pain appears conflicting, leading to the discrepancy in guideline recommendations. NICE does not recommend the use of antidepressants for LBP (<xref ref-type="bibr" rid="B60">National Institute for Health and Clinical Excellence, 2016</xref>), while the American College of Physicians guidance suggests considering duloxetine as a second-line drug treatment for chronic LBP (<xref ref-type="bibr" rid="B14">Chou et al., 2017</xref>). Similarly, NICE does not make a specific recommendation on antidepressants for OA (<xref ref-type="bibr" rid="B57">National Institute for Health and Care Excellence, 2022b</xref>) but OARSI guidance makes a conditional recommendation on duloxetine for people with OA and widespread pain or depression (<xref ref-type="bibr" rid="B9">Bannuru et al., 2019</xref>). Despite the small effects at the group level reported in the present evidence, some treated individuals may gain a worthwhile benefit from antidepressants. For example, absolute effect sizes for physical treatments for LBP are of similar magnitudes to those reported in the previous review (<xref ref-type="bibr" rid="B26">Ferreira et al., 2021</xref>) and translate into NNT of between 5 and 9 (<xref ref-type="bibr" rid="B29">Froud et al., 2009</xref>; <xref ref-type="bibr" rid="B76">Underwood and Tysall, 2021</xref>).</p>
</sec>
<sec id="s5-2">
<title>Fibromyalgia&#x2014;Efficacy and safety</title>
<p>Antidepressants such as amitriptyline, citalopram, duloxetine, fluoxetine, paroxetine or sertraline are suggested by NICE guidelines to manage chronic primary pain (e.g., fibromyalgia) for adults (<xref ref-type="bibr" rid="B54">National Institute for Health and Care Excellence, 2021a</xref>). Most antidepressants are off-label use since, to date, only three pharmacological agents&#x2014;pregabalin (i.e., gabapentinoids), duloxetine and milnacipran&#x2014;approved by the United States Food and Drug Administration to treat fibromyalgia. A meta-analysis evaluated the efficacy and harms of antidepressants in the management of fibromyalgia syndromes (<xref ref-type="bibr" rid="B33">Hauser et al., 2012</xref>). The standardised mean differences of SNRIs, selective serotonin reuptake inhibitors (SSRIs), and TCAs on pain, sleep, fatigue, depression and health-related quality of life were all significant, despite only a small effect size reported. The NNT was estimated as 10.0 (95% CI &#x3d; 8.0, 13.4) for SNRIs, 6.3 (95% CI &#x3d; 4.1, 14.1) for SSRIs, and 4.9 (95% CI &#x3d; 3.5, 8.0) for TCAs (<xref ref-type="bibr" rid="B33">Hauser et al., 2012</xref>). The RR of dropouts due to adverse events was higher for SNRIs (1.83, 95% CI &#x3d; 1.53, 2.18) but was not statistically different for SSRIs and TCAs (<xref ref-type="bibr" rid="B33">Hauser et al., 2012</xref>). Although antidepressants are increasingly prescribed for fibromyalgia as per guideline recommendations, physicians and patients should be realistic about the balance between the benefits and harms of antidepressants.</p>
<p>The inconsistent recommendations of antidepressants across different guidelines are challenging, given the limited evidence on antidepressants&#x2019; efficacy for different RMDs. The current evidence indicates that for non-fibromyalgia RMDs, antidepressants have no important benefit that is less acceptable, less safe, and less tolerable (<xref ref-type="bibr" rid="B25">Ferraro et al., 2021</xref>).</p>
</sec>
</sec>
<sec id="s6">
<title>Gabapentinoids</title>
<p>There is well-established evidence supporting the use of gabapentin in people with postherpetic neuralgia and peripheral diabetic neuropathy for pain relief (<xref ref-type="bibr" rid="B53">Moore et al., 2014</xref>; <xref ref-type="bibr" rid="B82">Wiffen et al., 2017</xref>). Around 3-4 out of 10 participants achieved at least 50% pain intensity reduction with gabapentin, compared with 1-2 out of 10 for placebo (<xref ref-type="bibr" rid="B82">Wiffen et al., 2017</xref>). Evidence for chronic non-neuropathic pain conditions, however, is very limited, making it difficult to discuss the efficacy and safety of gabapentinoids thoroughly in this review. The previous RCT showed that gabapentin was not superior to placebo in the reduction in pain intensity and disability scores for chronic LBP (<xref ref-type="bibr" rid="B7">Atkinson et al., 2016</xref>). Despite the unclear efficacy of gabapentinoids in most pain conditions, its&#x2019; prescribing rate has increased drastically between 2006&#x2013;2016 in Scotland, with a 4-fold increase for gabapentin and 16-fold for pregabalin (<xref ref-type="bibr" rid="B74">Torrance et al., 2020</xref>). The increasing prescribing is in line with the findings of gabapentinoids being increasingly abused or misused to self-medicate, in which opioid use disorder is the greatest risk factor (<xref ref-type="bibr" rid="B24">Evoy et al., 2021</xref>). Emerging evidence therefore reports the harms of gabapentinoids in terms of hospital utilisation and mortality risk (<xref ref-type="bibr" rid="B24">Evoy et al., 2021</xref>). People prescribed gabapentinoids had doubled the age-standardised death rate than that in the Scottish population (RR &#x3d; 2.16, 95% CI &#x3d; 2.08, 2.25) (<xref ref-type="bibr" rid="B74">Torrance et al., 2020</xref>). The increase in gabapentinoid prescribing, along with frequent co-prescriptions of opioids and/or benzodiazepines, also contributed to a higher rate of drug-related deaths (<xref ref-type="bibr" rid="B74">Torrance et al., 2020</xref>).</p>
<p>Gabapentinoids appear not to be recommended for RMDs by various guidelines given their unclear efficacy but do reveal an increasing prescribing rate and associations with poor health outcomes. The early evidence indicates some concerns regarding the appropriateness of gabapentinoids for chronic non-neuropathic pain management.</p>
</sec>
<sec sec-type="conclusion" id="s7">
<title>Conclusion</title>
<p>This narrative review incorporates heterogeneous study designs for RMDs with detailed interpretation and discussion, aiming to provide up-to-date and well-evidenced-based information to healthcare professionals on a topic with little evidence. Limitations of this work should also be acknowledged: 1) data unavailability due to no full-text, or a format of published abstract 2) incomparability of studies because of heterogeneous dose regimens, comparators, or outcomes.</p>
<p>In this review, we have discussed some of the challenges in interpreting the evidence and following current guidelines, which inevitably lead to variation in clinical practice when prescribing analgesics to patients with RMDs. The heterogeneity in the quality of clinical trials to assess the analgesic efficacy and a lack of key metrics such as NNT and number needed to harm, make the interpretability of evidence difficult. This subsequently makes communications with patients about the benefit/harm balance and shared decision-making more challenging. Whilst population-level estimates can help identify subgroups of patients at high risk of specific adverse outcomes, prescribing often requires a personalised approach that incorporates the baseline risk of the patient as well as patient preference. Long-term use of opioids, antidepressants and gabapentinoids prescribed frequently in RMDs is importantly associated with dependence, often with minimal clinical benefits in symptoms or function. Recognising these challenges, NICE has released helpful resources to consider when prescribing dependence-forming medicines or antidepressants (<xref ref-type="bibr" rid="B56">National Institute for Health and Care Excellence, 2022a</xref>) as well as on shared decision-making with patients (<xref ref-type="bibr" rid="B59">National Institute for Health and Care Excellence, 2021b</xref>). Resources for effective non-pharmacological options for pain, alongside quantitative safety estimates that can be easily communicated with patients, would allow more informed choices and better treatment stratification than is currently possible.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>Y-TH and MJ conceived the study. MJ secured funding. Y-TH led the literature review with the support of CM&#x2019;s Master&#x2019;s Dissertation. Y-TH drafted the initial version of the manuscript. Y-TH and MJ critically reviewed the manuscript and contributed to revisions. All authors have read and approved the final manuscript.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>MJ is funded by a National Institute for Health and Care Research (NIHR) Advanced Fellowship (NIHR301413). The views expressed in this publication are those of the authors and not necessarily those of the NIHR, NHS or the United Kingdom Department of Health and Social Care. This work is supported also by a FOREUM Career Research Grant (reference 125059) and Versus Arthritis (reference 22481).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<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="disclaimer" id="s11">
<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>
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