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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychiatry</journal-id>
<journal-title-group>
<journal-title>Frontiers in Psychiatry</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychiatry</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-0640</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyt.2026.1654091</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Suicide and psychiatric disorders associated with amphetamine type stimulant use: a systematic review and meta-analysis</article-title>
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<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Adam</surname><given-names>Halima Mohammed</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Aljadani</surname><given-names>Ahmed Hamed</given-names></name>
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<name><surname>Abouzed</surname><given-names>Mohamed</given-names></name>
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<contrib contrib-type="author">
<name><surname>Alrasheedy</surname><given-names>Benayan Bani</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Alarfaj</surname><given-names>Muath Abdulaziz</given-names></name>
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<aff id="aff1"><label>1</label><institution>Psychology Department, Education College, University of Ha&#x2019;il</institution>, <city>Hail</city>, <country country="sa">Saudi Arabia</country></aff>
<aff id="aff2"><label>2</label><institution>College of Medicine, University of Ha&#x2019;il</institution>, <city>Hail</city>, <country country="sa">Saudi Arabia</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Psychiatry, College of Medicine, Al-Azhar University</institution>, <city>Cairo</city>, <country country="eg">Egypt</country></aff>
<aff id="aff4"><label>4</label><institution>Psychological Rehabilitation Department, Eradah Complex for Mental Health</institution>, <city>Hail</city>, <country country="sa">Saudi Arabia</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Halima Mohammed Adam, <email xlink:href="mailto:hm.adam@uoh.edu.sa">hm.adam@uoh.edu.sa</email>; <email xlink:href="mailto:halowadam2@gmail.com">halowadam2@gmail.com</email></corresp>
<fn fn-type="other" id="fn003">
<p>&#x2020;ORCID: Halima Mohammed Adam, <uri xlink:href="https://orcid.org/0000-0001-6747-3572">orcid.org/0000-0001-6747-3572</uri></p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-13">
<day>13</day>
<month>03</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1654091</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>08</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Adam, Aljadani, Abouzed, Alrasheedy and Alarfaj.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Adam, Aljadani, Abouzed, Alrasheedy and Alarfaj</copyright-holder>
<license>
<ali:license_ref start_date="2026-03-13">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>This study reviews the literature to determine the prevalence and nature of suicidality and psychiatric comorbidity in individuals with amphetamine-type stimulant (ATS) use to inform targeted interventions.</p>
</sec>
<sec>
<title>Methods</title>
<p>We searched the Web of Science, PubMed, Scopus, and Cochrane Library databases for relevant papers published until March 2025. Two independent reviewers collected the following data: baseline information, outcomes, prevalence of suicidality, psychiatric disorders, employment status, marital status, additional substances used, age at onset of use, and duration of use.</p>
</sec>
<sec>
<title>Results</title>
<p>We collected 2,969 records after excluding 2,072 duplicates. Thorough screening yielded 70 entries eligible for inclusion. Our analysis revealed prevalence rates of 26% for depression, 22% for hallucinations, 20% for suicidality, 23% for suicidal ideation, 17% for suicide attempts, and 13% for deaths by suicide. Additionally, 38% of individuals who use ATS also used multiple other substances concurrently, and the mean duration of ATS use was estimated to be 5.13 years. The total pooled sample size across all included studies was 311,669 persons.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This systematic review highlights the high prevalence of psychiatric conditions, including depression, hallucinations, and suicidality, frequently co-occurring with concurrent use of multiple substances and psychiatric disorders. These findings represent prevalence rates within the ATS-using population, and no comparison with non-ATS populations was performed; therefore, they do not imply an excess or attributable risk. The results underscore the critical need for integrated screening and service-planning guidance in this vulnerable population.</p>
</sec>
</abstract>
<kwd-group>
<kwd>amphetamine</kwd>
<kwd>methamphetamine</kwd>
<kwd>stimulant</kwd>
<kwd>substance use disorder</kwd>
<kwd>suicide</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>University of Hail</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100008809</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. Funding was obtained from the Deanship of Scientific Research at Hail University, Project No. &gt;&gt;RG-24 022&lt;&lt;</funding-statement>
</funding-group>
<counts>
<fig-count count="9"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="98"/>
<page-count count="16"/>
<word-count count="6308"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Addictive Disorders</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The number of people attempting suicide has been steadily rising worldwide. Suicide is responsible for 1.4% of premature deaths, and it is the second most common cause of death among young adults in their 20s and 30s (<xref ref-type="bibr" rid="B1">1</xref>). Globally, approximately 700,000 suicide deaths have been reported. According to these statistics, at least two people attempt to take their own lives every day. Regrettably, many of these attempts result in death (<xref ref-type="bibr" rid="B2">2</xref>). Although suicide is not classified as a standalone diagnosis, it was included in the DSM-5 under the chapter on conditions of clinical concern. This inclusion aims to highlight risk factors and improve clinical practices for the prevention of suicide. Suicide is considered a comorbid condition with several mental disorders, such as depression, schizophrenia, personality disorders, and substance use disorders (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>). Suicidal ideation, plans, attempts, and deaths by suicide are all included in the broad category of suicidality. The desire to die is the primary difference between suicide and self-harming behaviors (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>A major concern is the association between amphetamine-type stimulants (ATS) and suicide. Deaths involving amphetamines, with or without opioids, have been rising across all population segments (<xref ref-type="bibr" rid="B7">7</xref>). Complex interactions among biological, social, and psychological factors have contributed to a sharp rise in ATS use worldwide (<xref ref-type="bibr" rid="B8">8</xref>). This trend has become a significant public health concern. Amphetamine-type stimulants (ATS) are powerful central nervous system stimulants. They have drawn attention not only for their addictive properties but also for their link to numerous negative health outcomes, including a high rate of deaths from stimulant overdose (<xref ref-type="bibr" rid="B9">9</xref>). Amphetamines and suicidality, fueled by substantial public health consequences of substance use patterns, have been under more scrutiny. Several factors may explain the association between amphetamine use and increased risk of suicidal thoughts and behaviors. These include specific pharmacological effects, physical injuries, comorbid psychiatric disorders, and sociocultural influences (<xref ref-type="bibr" rid="B10">10</xref>). In epidemiological studies on amphetamine-related suicide deaths, demographic factors have been observed to play a substantial role.</p>
<p>One study among adolescents revealed that many adolescents who used drugs reported suicidal thoughts or attempts. The study also found statistically significant associations between suicide attempts and amphetamine use (<xref ref-type="bibr" rid="B11">11</xref>). Gender plays a key role in the demographic factors affecting suicidality among individuals who use amphetamines. Men are more likely than women to exhibit suicidal tendencies. This difference may be linked to social expectations regarding emotional expression and seeking support (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Over the past few decades, methamphetamine use has increased considerably and, according to evidence, it has become more common among various population groups, particularly young and socially disadvantaged populations. A range of social factors contribute to this escalation, including poor parent-child relationships (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). The risk is further amplified by socioeconomic challenges such as poverty, unemployment, and social isolation. Additional determinants include involvement in criminal activities, chronic health conditions such as hepatitis B and C, HIV infection, and psychiatric disorders, particularly depression (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Several factors have been associated with high amphetamine-related suicide risk, including depression, aggressive behavior, and social dysfunction. All these factors are exacerbated by early exposure to substances such as amphetamines (<xref ref-type="bibr" rid="B10">10</xref>). Risk factors for suicide attempts and deaths by suicide, including impulsiveness and aggression, have also been reported (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>Further, individuals who use methamphetamine along with other substances are more likely to die by suicide than those using methamphetamine alone (<xref ref-type="bibr" rid="B19">19</xref>). Additionally, comorbidities, particularly schizophrenia and mood disorders, significantly increase the risk of suicide attempts among individuals who use amphetamines. For instance, individuals with schizophrenia who also use substances such as amphetamines face multiple challenges. These include pronounced mood dysregulation and poor medication adherence, both of which significantly increase the risk of suicide (<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>The neurological and biological effects of amphetamines further complicate the relationship between suicide and substance use. These substances alter reward pathways and disrupt neurotransmitter systems. The drug causes the brain to release a higher amount of dopamine, which disrupts the sympathetic nervous system (SNS) and derails mitochondrial and endoplasmic reticulum (ER) processes (<xref ref-type="bibr" rid="B21">21</xref>). Methamphetamine intoxication occurs due to several mechanisms. These include disruption of the blood-brain barrier, increased neurotransmitter discharge, blockage of uptake transporters, and receptor degeneration. The resultant oxidative stress gives rise to both intense euphoria and severe neurotoxicity, expressed primarily as neuroinflammation and oxidative stress. Severe manifestations of cardiovascular and cerebrovascular diseases, such as Parkinson&#x2019;s and Alzheimer&#x2019;s diseases, are caused by these acute stimuli (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>Vrajov&#xe1; et&#xa0;al. (2021) demonstrated that individuals who use ATS experience a range of emotional mental health problems and disruptions in sleep&#x2013;wake patterns. These include depression, anxiety, hyperactivity, aggression, psychosis, and sleep disorders (<xref ref-type="bibr" rid="B23">23</xref>). People who use ATS undergo chemical changes in the brain. These changes lead to emotional instability, which increases suicide risk among individuals with mental health disorders (<xref ref-type="bibr" rid="B24">24</xref>). People who experience changes in their mood control gene expressions present an increased risk of suicide (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>Exposure to ATS causes long-term increases in reward-seeking behavior. This heightened reactivity to rewards and related cues contributes to a greater probability of drug relapse (<xref ref-type="bibr" rid="B27">27</xref>). Long-term use has been linked to deficits in language, motor abilities, information processing, memory, and cognition (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>Social and environmental factors play a role in the development of suicidality among individuals who use ATS. Evidence suggests that early traumatic events combined with inherited mental disorders in family members significantly increase the risk of substance use. They also heighten the likelihood of suicidal thoughts and behaviors. The relationship between childhood adversities and family support suggests that targeted interventions in these areas could help prevent suicide among individuals who use amphetamines (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>Our systematic analysis evaluates existing medical research on ATS use and its relationship with suicidality. It also identifies key research themes, information gaps, and potential opportunities for future studies. Our research aims to develop a more advanced understanding of the connection between ATS use and suicidality by analyzing multiple studies. This review explores multiple aspects of the relationship between ATS use and suicidal thoughts and actions. These include associations with other mental health problems and links to environmental and social conditions. The focus of our review is to determine the prevalence of suicidality and suicidal behaviors, including ideation and attempts, as well as deaths attributed to ATS use disorder. Additionally, we examine related factors such as concurrent use of multiple substances, psychiatric disorders (including depression and hallucinations), and the duration of ATS use.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<p>This review followed the formatting guidelines of the Cochrane Handbook for Systematic Reviews of Interventions and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>).</p>
<sec id="s2_1">
<label>2.1</label>
<title>Eligibility criteria</title>
<p>For the purpose of this meta-analysis, Amphetamine-Type Stimulants (ATS) primarily included amphetamine, methamphetamine, and their derivatives. We acknowledge the heterogeneity in the literature. Studies were included if the primary substance was ATS. Studies where the primary substance was Ecstasy/MDMA or other non-amphetamine stimulants (e.g., cathinones) were excluded unless the sample was clearly defined as individuals using multiple substances where ATS was a significant component (Tier 3 studies). We have carefully reviewed the included studies to ensure that the majority of the pooled sample represents individuals with a confirmed ATS use disorder or significant ATS exposure. This approach addresses the concern that our findings might reflect &#x2018;stimulant use broadly&#x2019; by focusing the inclusion criteria on the core ATS group, while transparently acknowledging the inclusion of mixed-stimulant samples in the broader context of concurrent use of multiple substances.</p>
<p>We included studies in which suicidality was explicitly described as temporally or clinically associated with ATS use, such as during active use, withdrawal, or hospitalization for ATS-induced psychiatric symptoms. When this association was not directly stated, suicidality data were extracted only from participants with a confirmed diagnosis of ATS use disorder or documented ATS use within the study&#x2019;s inclusion criteria. We acknowledge that this approach may capture suicidality that is not causally attributable to ATS use, but rather reflects comorbid psychiatric conditions or other confounders within ATS-using populations.</p>
<p>The inclusion criteria were as follows:</p>
<list list-type="bullet">
<list-item>
<p>Research focused on individuals with amphetamine or related substance use disorder</p></list-item>
<list-item>
<p>Data obtained from hospital records or surveys</p></list-item>
<list-item>
<p>Articles published in English</p></list-item>
<list-item>
<p>Full-text articles were available for retrieval</p></list-item>
</list>
<p>The exclusion criteria were as follows:</p>
<list list-type="bullet">
<list-item>
<p>Studies where the prevalence of amphetamine-type stimulant (ATS)-related suicide could not be determined</p></list-item>
<list-item>
<p>Reviews, letters to editors, comments, opinions, randomized controlled trials (RCTs), and abstracts</p></list-item>
<list-item>
<p>Articles in non-English languages</p></list-item>
</list>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Search strategy and information sources</title>
<p>The procedure for retrieving records was divided into several stages, as follows:</p>
<p>Preliminary publications were found through a general search conducted using generic phrases across PubMed, Scopus, and Embase. Subsequently, a more sophisticated approach utilizing MeSH terms and associated keywords was methodically implemented for the Web of Science, PubMed, Scopus, and Cochrane Library databases. Following are the search terms used: (Methamphetamine OR Deoxyephedrine OR Desoxyephedrine OR &#x201c;N Methylamphetamine&#x201d; OR Metamfetamine OR Desoxyn OR Metamfetamin* OR Stimulex OR Benzeneethanamine* OR Phenethylamine* OR dextromethamphetamine OR Meth OR Shabu) AND (self-murder OR suicid* OR Self-destruction OR Death OR Suicide). Our final search was conducted in March 2025 using a specific and detailed query. Additionally, references and citations in the collected records were carefully checked and manually reviewed to identify other relevant studies.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Selection method</title>
<p>The studies were screened by two independent, blinded reviewers. Screening involved evaluating research titles and abstracts based on specific criteria. To minimize bias, identifiable authorship information was concealed. A third reviewer resolved any discrepancies between the initial reviewers. After completing the initial screening phase, the two reviewers conducted a full-text review of the papers that met the criteria to verify their eligibility and compared the results. To avoid duplication of data, we carefully cross-referenced author names, study locations, and recruitment periods. Where potential overlapping samples were identified, we prioritized the study with the most comprehensive data on suicidality and excluded the others.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Data collection</title>
<p>Using a predefined set of variables, two independent reviewers employed a two-step method to extract data from full-text articles into a shared Google spreadsheet. They collected baseline data in the first step, such as the author&#x2019;s last name, study design, the author&#x2019;s country of origin, and results. Additionally, they gathered information on the number of patients, their age, distribution of genders, employment status, marital status, additional substances used, and age at the onset of ATS use. For analysis, they extracted data on the prevalence of ATS-related factors, depression, hallucinations, suicidal ideation, suicide attempts, deaths by suicide, duration of ATS use, and prevalence of concurrent use of multiple substances. See <xref ref-type="supplementary-material" rid="SF1"><bold>Supplementary Table 1</bold></xref>.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Outcome measures</title>
<p>Prevalence of psychiatric disorders: We pooled the prevalence of depression and hallucinations among individuals who use ATS at the time of presentation or interviewing in each study, as well as the types of hallucinations whenever clearly stated.</p>
<p>Amphetamine type Stimulant (ATS)-related suicidality: We gathered all the reported prevalence of suicidality among individuals who use ATS (suicidality, suicidal ideation, and suicide attempts) at the time of evaluation.</p>
<p>ATS-related deaths by suicide: This outcome represents the proportion of individuals whose death was attributed to ATS use disorder among all deaths in people with ATS use.</p>
<p>Concurrent use of multiple substances: Whenever provided, we documented the prevalence of concurrent use of drugs, alcohol, or other substances along with ATS.</p>
<p>Duration of ATS use: We assimilated the reported duration of ATS use and pooled them in our analysis to estimate the mean duration.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Sensitivity analysis</title>
<p>Explicit description of three-tier categorization methodology</p>
<p>Tier 1 (Explicit association, n=12): Studies explicitly documenting suicidality during active ATS use, intoxication, withdrawal, or hospitalization for ATS-induced psychiatric symptoms</p>
<p>Tier 2 (Inferred association, n=47): Studies reporting suicidality among participants with a confirmed diagnosis of ATS use disorder, but without explicit temporal documentation</p>
<p>Tier 3 (Weak association, n=10): Studies in polysubstance contexts where ATS was one of multiple substances used, limiting attribution specificity. See <xref ref-type="supplementary-material" rid="SF2"><bold>Supplementary Table 2</bold></xref>.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Bias risk</title>
<p>All full-text publications were evaluated by two separate reviewers, and a third reviewer addressed any discrepancies. The National Institutes of Health Quality Assessment Tool for Observational and Cohort Studies was used to assess the methodological quality of each cohort study (<xref ref-type="bibr" rid="B33">33</xref>).</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Statistical analysis</title>
<p>Data were analyzed using R version 4.3.3. Polysubstance use and psychiatric disorders were pooled, detailing the subtypes of hallucinations to avoid overlap. Additionally, the mean duration of ATS use was pooled. The combined means of absence duration and their 95% confidence intervals (CIs) were reported. Statistical significance was set at p &lt; 0.05. The I&#xb2; statistic was used to assess heterogeneity in the included trials. I&#xb2; &gt; 40% and a &#x3c7;&#xb2; p &lt; 0.1 indicated significant heterogeneity among the included studies. To address the heterogeneity and variability of data, a random-effects model was applied. In addition, we considered meta-regression using the duration of ATS use whenever possible. The results included details of individual studies, and the diversity of effect measures was displayed using the forest plot. Heterogeneity (&#x3c4;&#xb2;) was estimated using the restricted maximum likelihood (REML) method.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Study selection</title>
<p>While searching the four databases, we found 5,041 records. After removing 2,072 duplicates, we obtained 2,969 unique records. We then checked the titles and abstracts, removing 2,847 entries. We extracted the complete texts of the remaining 122 records and evaluated them based on our eligibility criteria. During this examination, we excluded three non-English papers, six review articles, nine studies with postmortem diagnoses, 20 studies without prevalence estimates, and 14 studies that did not address amphetamine-type stimulant (ATS) as an addictive stimulant. Ultimately, 70 articles were included in this review. <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref> presents the flow diagram for study selection.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>PRISMA flow diagram of the study selection process.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1654091-g001.tif">
<alt-text content-type="machine-generated">PRISMA 2020 flow diagram illustrating the identification and screening of studies for a systematic review. Records identified total 5,141 from PubMed, Scopus, Web of Science, and Cochrane. After removing 2,072 duplicates, 2,969 records were screened, with 2,847 excluded. Of 122 reports assessed for eligibility, 52 were excluded for various reasons, including review and language constraints. Seventy studies were included in the final review.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Characteristics of included studies</title>
<p>The review included 70 studies (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Twenty-six were retrospective cohort studies, 10 were prospective cohort studies, 33 were cross-sectional studies, and one was a case-control study. Further, 26 reports were from the United States, six from Iran, another six from Taiwan, four from Canada, 12 from Australia, three from Japan, and one from the United Kingdom, among other countries. The total number of participants was 311,669, 45.27% of whom were female participants. The mean age of participants at the onset of substance use was 21.39 (&#xb1;&#xa0;6.19) years, whereas their age at first consultation averaged 31.59 (&#xb1;&#xa0;7.84) years. A complete depiction of baseline characteristics is presented in <xref ref-type="supplementary-material" rid="SF3"><bold>Supplementary Table 3</bold></xref>.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Risk of bias</title>
<p>The reviewers used NIH criteria to rate cohort studies as &#x201c;good,&#x201d; &#x201c;fair,&#x201d; or &#x201c;poor.&#x201d; A &#x201c;good&#x201d; rating indicates that the study had the lowest chance of bias and delivered valid findings. A &#x201c;fair&#x201d; rating implies some bias, but the conclusions remain valid. A &#x201c;poor&#x201d; rating reflects severe prejudice. <xref ref-type="supplementary-material" rid="SF4"><bold>Supplementary Table&#xa0;4</bold></xref> shows that five of the examined studies were of good quality, 58 were of fair quality, and seven were of poor quality.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Results of syntheses</title>
<p>Results regarding the prevalence of psychiatric disorders are presented below.</p>
<sec id="s3_4_1">
<label>3.4.1</label>
<title>Depression</title>
<p>We estimated the prevalence of depression among patients who use amphetamines to be 26% (95% CI: 0.17-0.39), based on data presented in 17 studies:</p>
<p>(<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B36">36</xref>&#x2013;<xref ref-type="bibr" rid="B51">51</xref>) <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>. Each year of ATS use significantly increased the odds of depression by 19% (OR&#xa0;=&#xa0;1.19), <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Prevalence of depression among individual with ATS use.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1654091-g002.tif">
<alt-text content-type="machine-generated">Forest plot from a meta-analysis depicting the effect sizes and confidence intervals for various studies. Each study is listed with events, total participants, proportion, confidence interval, and statistical weight. A diamond represents the overall effect size and confidence interval, with heterogeneity indicated as 99.5 percent. The x-axis ranges from 0 to 1, showing the proportion of events.</alt-text>
</graphic></fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Meta-regression of the effect of addiction duration on suicide-related events.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Outcome</th>
<th valign="middle" align="center">Predictor</th>
<th valign="middle" align="center">Odds Ratio (OR)</th>
<th valign="middle" align="center">95% CI for OR</th>
<th valign="middle" align="center">Resolved I2</th>
<th valign="middle" align="center">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">Suicidal Ideation</td>
<td valign="top" align="center">Intercept</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.05, 0.18</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&lt;.0001</td>
</tr>
<tr>
<td valign="top" align="center">(I&#xb2;=92.17%)</td>
<td valign="top" align="center">Duration</td>
<td valign="top" align="center">1.21</td>
<td valign="top" align="center">1.09, 1.34</td>
<td valign="top" align="center">74.12%</td>
<td valign="top" align="center">0.0002</td>
</tr>
<tr>
<td valign="top" align="center">Suicide Attempts</td>
<td valign="top" align="center">Intercept</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">0.09, 0.52</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.0007</td>
</tr>
<tr>
<td valign="top" align="center">(I&#xb2;=96.85%)</td>
<td valign="top" align="center">Duration</td>
<td valign="top" align="center">0.98</td>
<td valign="top" align="center">0.86, 1.11</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.732</td>
</tr>
<tr>
<td valign="top" align="center">Depression</td>
<td valign="top" align="center">Intercept</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.03, 0.36</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.0003</td>
</tr>
<tr>
<td valign="top" align="center">(I&#xb2;=99.45%)</td>
<td valign="top" align="center">Duration</td>
<td valign="top" align="center">1.19</td>
<td valign="top" align="center">1.01, 1.41</td>
<td valign="top" align="center">28.32%</td>
<td valign="top" align="center">0.0427</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_4_2">
<label>3.4.2</label>
<title>Hallucinations</title>
<p>Our analysis yielded a 22% (95% CI: 0.14-0.33) prevalence of hallucinations in general. We also examined the prevalence of several types of hallucinations. From eight studies (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B51">51</xref>&#x2013;<xref ref-type="bibr" rid="B57">57</xref>) we calculated the rate of auditory hallucinations to be 34% (95% CI: 0.19-0.62). Visual hallucinations were reported in sex studies (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B58">58</xref>) Based on their data, we estimated the rate to be 32% (95% CI: 0.21-0.50). Additionally, the prevalence of tactile hallucinations was estimated to be 9% (95% CI: 0.01-0.52) (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B56">56</xref>). Meanwhile, five studies described the presence of hallucinations, although the exact type was not clarified, for which a prevalence of 27% (95% CI: 0.14-0.49) was calculated. Somatic, olfactory, and gustatory hallucinations were mentioned in only one study (<xref ref-type="bibr" rid="B56">56</xref>)each at rates of 41%, 2%, and 2%, respectively <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Prevalence of hallucinations among individual with ATS use.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1654091-g003.tif">
<alt-text content-type="machine-generated">Forest plot from a study shows the proportion, confidence interval, and weight of various auditory, visual, somatic, tactile, non-typed, olfactory, and gustatory studies. Each section features study names, event counts, and totals, with corresponding proportion estimates and confidence intervals plotted. Random effects models and heterogeneity statistics are provided for each category, with overall results at the bottom. The plot aids in visualizing the aggregated effect size and variability across studies.</alt-text>
</graphic></fig>
<p>We now examine the results on deaths by suicide and amphetamine use disorder.</p>
</sec>
<sec id="s3_4_3">
<label>3.4.3</label>
<title>Suicidality</title>
<p>As reported in 11 studies (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B59">59</xref>&#x2013;<xref ref-type="bibr" rid="B63">63</xref>) without clear delineation among different forms of suicidality, we estimated the rate of deaths by suicide to be 20% (95% CI: 0.13-0.32) among individuals with ATS use <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Prevalence of suicidality among individual with ATS use.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1654091-g004.tif">
<alt-text content-type="machine-generated">Forest plot showing meta-analysis results of various studies with event counts and totals. Proportions and 95% confidence intervals are displayed, with study weights ranging from 3.7% to 10.0%. The random effects model summary shows an overall proportion of 0.20 with a 95% prediction interval, indicating heterogeneity with I-squared at 99.6%, tau-squared at 0.5785, and p-value of 0.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4_4">
<label>3.4.4</label>
<title>Suicidal ideation</title>
<p>We amassed data from 22 studies on suicidal ideation among individuals who use ATS (<xref ref-type="bibr" rid="B34">34</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>) (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B51">51</xref>&#x2013;<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B64">64</xref>&#x2013;<xref ref-type="bibr" rid="B70">70</xref>); accordingly, we estimated the prevalence rate to be 23% (95% CI: 0.16-0.33), <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>. For each year increase in the duration of amphetamine use, the odds of experiencing suicidal ideation increase by 21% (OR&#xa0;=&#xa0;1.21). This effect was statistically significant, <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Prevalence of suicidal ideation among individual with ATS use.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1654091-g005.tif">
<alt-text content-type="machine-generated">Forest plot displaying various study results with event and total counts, proportions, 95% confidence intervals (CI), and weights. The plot visualizes the effect size for each study with individual point estimates and confidence intervals. A random effects model summary appears at the bottom, indicating an overall proportion of 0.23 with a 95% CI ranging from 0.16 to 0.33. The heterogeneity statistics show a high I&#xb2; value of 98.0%, with statistical significance at p &lt; 0.0001.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4_5">
<label>3.4.5</label>
<title>Suicide attempts</title>
<p>Suicide attempts: Twenty-eight studies reported data on suicide attempts among individuals who use ATS (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B65">65</xref>&#x2013;<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B69">69</xref>&#x2013;<xref ref-type="bibr" rid="B84">84</xref>). Our analysis revealed a prevalence rate of 17% (95% CI: 0.13-0.23). <xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref> presents the pooled prevalence estimate of 17% (95% CI: 0.13&#x2013;0.23). For example, Richards et&#xa0;al. (2017) reported suicide attempt rates among methamphetamine users in emergency settings (<xref ref-type="bibr" rid="B75">75</xref>). The duration of ATS use did not have a statistically significant effect on the odds of attempting suicide, <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Suicide attempt rates among individual with ATS use.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1654091-g006.tif">
<alt-text content-type="machine-generated">Forest plot depicting the results of numerous studies, showing proportions and confidence intervals for each. Studies are listed vertically with respective events and totals. Horizontal lines denote 95% confidence intervals, with squares indicating proportion size. Weights are listed. A summary effect size is displayed at the bottom with prediction interval. Heterogeneity metrics are also provided.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4_6">
<label>3.4.6</label>
<title>Deaths by suicide</title>
<p>We pooled data regarding the rate of successful deaths by suicide among individuals with ATS use from 12 studies (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B67">67</xref>) (<xref ref-type="bibr" rid="B85">85</xref>&#x2013;<xref ref-type="bibr" rid="B93">93</xref>); the resulting estimated prevalence rate was 13% (95% CI: 0.09-0.20) <xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7</bold></xref>.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Rate of death by suicides among individual with ATS use.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1654091-g007.tif">
<alt-text content-type="machine-generated">Forest plot showing various studies' proportions with 95% confidence intervals and weights. Studies include Attafi 2021 to Stronach 2024. Proportion values range from 0.03 to 0.36. The random effects model summary shows an overall proportion of 0.13 with high heterogeneity.</alt-text>
</graphic></fig>
<p>The pooled prevalence estimates stratified by attribution tier: <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>. presents pooled suicide prevalence estimates categorized by attribution level for suicidal ideation. Tier 1&#xa0;=&#xa0;28.5%, Tier 2&#xa0;=&#xa0;22.6%, Tier 3&#xa0;=&#xa0;17.6%, For suicide attempts: Tier 1&#xa0;=&#xa0;20.6%, Tier 2&#xa0;=&#xa0;16.7%, Tier 3&#xa0;=&#xa0;12.9%. For complete suicide: Tier 1&#xa0;=&#xa0;16.2%, Tier 2&#xa0;=&#xa0;11.2%, Tier 3&#xa0;=&#xa0;8.0.Tier 3&#xa0;=&#xa0;8.0.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Sensitivity analysis of prevalence estimates by study attribution strength.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Outcome</th>
<th valign="middle" align="center">N (All Studies)</th>
<th valign="middle" align="center">Prevalence <break/>(All)</th>
<th valign="middle" align="center">N<break/>(Tier 1 Only)</th>
<th valign="middle" align="center">Prevalence <break/>(Tier 1 Only)</th>
<th valign="middle" align="center">N<break/>(Tiers 1 &amp; 2)</th>
<th valign="middle" align="center">Prevalence <break/>(Tiers 1 &amp; 2)</th>
<th valign="middle" align="center">Change in <break/>Prevalence <break/>(T1&amp;2 vs All)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center"><bold>Depression</bold></td>
<td valign="middle" align="center">21</td>
<td valign="middle" align="center">25.5%</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">31.7%</td>
<td valign="middle" align="center">21</td>
<td valign="middle" align="center">25.5%</td>
<td valign="middle" align="center">0.0pp</td>
</tr>
<tr>
<td valign="middle" align="center"><bold>Suicidal Ideation</bold></td>
<td valign="middle" align="center">23</td>
<td valign="middle" align="center">22.6%</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">28.5%</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">23.9%</td>
<td valign="middle" align="center">+1.4pp</td>
</tr>
<tr>
<td valign="middle" align="center"><bold>Suicide Attempts</bold></td>
<td valign="middle" align="center">32</td>
<td valign="middle" align="center">16.2%</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">20.6%</td>
<td valign="middle" align="center">23</td>
<td valign="middle" align="center">17.5%</td>
<td valign="middle" align="center">+1.3pp</td>
</tr>
<tr>
<td valign="middle" align="center"><bold>Completed Suicide</bold></td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">13.4%</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">16.2%</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">13.4%</td>
<td valign="middle" align="center">0.0pp</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p><bold>N</bold> represents the number of studies included in that analysis subset.</p></fn>
<fn>
<p><bold>Prevalence</bold> is the pooled prevalence estimate from the meta-analysis subset.</p></fn>
<fn>
<p><bold>Tier 1 Studies</bold> are those with explicit temporal/causal attribution between ATS use and the outcome.</p></fn>
<fn>
<p><bold>Tier 2 Studies</bold> are those with inferred attribution (confirmed ATS use disorder).</p></fn>
<fn>
<p><bold>Change</bold> indicates the difference in percentage points (pp) between the Prevalence (Tiers 1 &amp; 2) and the Prevalence (All Studies).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4_7">
<label>3.4.7</label>
<title>Polysubstance use</title>
<p>Regarding polysubstance use, based on 10 (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B79">79</xref>, <xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B86">86</xref>). We estimated that 38% of individuals who use ATS also used other substances <xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8</bold></xref>.</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Percentage of polysubstance use among individual with ATS use.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1654091-g008.tif">
<alt-text content-type="machine-generated">Forest plot depicting the results of various studies, each represented by a blue square and horizontal line indicating the confidence interval. Studies on the left column include &#x201c;Fang 2023&#x201d; to &#x201c;Yockey 2020,&#x201d; displayed with events and total counts. The right columns show the proportion, confidence intervals, and weight percentages. The diamond at the bottom represents the random effects model's overall effect estimate with a prediction interval. Heterogeneity is high, indicated by \(I^2 = 99.8\%\) and \(p = 0\).</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4_8">
<label>3.4.8</label>
<title>Duration of ATS use</title>
<p>As for the duration of ATS use, the mean duration of ATS use among individuals who use ATS was approximately 5.13 years (95% CI: 3.36-7.85), as pooled from 10 studies (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B73">73</xref>) <xref ref-type="fig" rid="f9"><bold>Figure&#xa0;9</bold></xref>.</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Mean duration of ATS use among individual with ATS use.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1654091-g009.tif">
<alt-text content-type="machine-generated">Forest plot showing a meta-analysis of studies with details such as study names, total sample size, means, standard deviations, and weights. Each study is represented by a square and line indicating the mean and 95% confidence interval. A diamond shape at the bottom represents the overall effect size with a prediction interval. Heterogeneity statistics are T-squared equals zero point five one two eight and p equals zero, indicating high variability.</alt-text>
</graphic></fig>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Our findings confirm a substantial prevalence of suicidality among individuals who use ATS, including suicidal ideation (23%), attempts (17%), and deaths by suicide (13%). However, these estimates are based solely on ATS-using populations and do not include comparisons with the general population. A critical consideration in interpreting these findings is the absence of a comparison group (e.g., the general population or individuals with other substance use disorders). Consequently, the high prevalence rates reported here do not imply an excess or attributable risk specifically due to ATS use, but rather reflect the substantial burden of psychiatric comorbidity within this clinical population. This distinction is crucial, and our clinical implications are therefore focused on enhancing screening protocols and informing service-planning guidance rather than establishing a causal risk association.</p>
<p>The high degree of heterogeneity observed in the prevalence estimates (as indicated by the statistics in our forest plots) necessitates a contextual interpretation of the pooled results. This heterogeneity is likely driven by several key factors across the included studies: -1Clinical Setting and Sample Type: Prevalence rates varied significantly based on the recruitment setting. Studies from Emergency Department (ED) or inpatient psychiatric settings (often reflecting acute intoxication or withdrawal) typically reported higher prevalence of current suicidality compared to those from outpatient or community-based settings (which may capture more stable or chronic use). We interpret the pooled prevalence as a reflection of the overall burden across the spectrum of care, with the higher rates suggesting a critical need for screening in acute settings. -2Current vs. Lifetime Prevalence: The pooling of studies reporting both current (past 30 days or during hospitalization) and lifetime prevalence contributed to the observed variability. We have attempted to stratify these where possible, but the overall pooled estimate should be interpreted as a conservative measure of lifetime exposure to suicidal behavior within this population. -3 Assessment Tools and Diagnostic Rigor: Studies utilizing structured diagnostic interviews (e.g., SCID, MINI) or medical records for diagnosis of ATS use disorder and suicidality were pooled with those using screening tools (e.g., self-report questionnaires). The former generally provides a more rigorous, but potentially lower, prevalence estimate compared to the latter. This methodological difference is a major source of heterogeneity and underscores the need for standardized assessment in future research. -4 Polysubstance Use: The inclusion of studies with high rates of polysubstance use (Tier 3) introduces confounding, as the observed suicidality cannot be solely attributed to ATS. We have highlighted this in our limitations, but the heterogeneity in polysubstance use profiles (e.g., co-use with alcohol, opioids) further complicates the interpretation of the pooled prevalence. -5 Terminology and Diagnostic Criteria: The use of varying terminology across studies&#x2014;specifically &#x2018;use&#x2019; vs. &#x2018;abuse&#x2019; vs. &#x2018;use disorder&#x2019;&#x2014;reflects the evolution of diagnostic criteria (e.g., DSM-IV vs. DSM-5). We have standardized our reporting to &#x2018;ATS use disorder&#x2019; where possible, but the underlying differences in the severity of the included samples remain a source of heterogeneity. Similarly, the duration measures (e.g., years of use) were often self-reported and varied widely, contributing to the difficulty in drawing firm conclusions about temporal relationships.</p>
<p>The tiered sensitivity analysis demonstrates a consistent gradient (Tier 1 &gt; Tier 2 &gt; Tier 3) across suicidality outcomes, explicit temporality and better exposure definition (Tier 1) reduce misclassification and increase detection of ATS associated suicidality, while inferred or polysubstance contexts (Tier 2/Tier 3) dilute attribution through information bias and confounding. Given the high co involvement of opioids in stimulant related events and the established harms of polysubstance use, Tier 3 should be interpreted as a burden within mixed use settings rather than an ATS specific risk. Tier 1 studies often draw from emergency, inpatient, or acute psychiatric settings where suicidality is assessed concurrently with ATS intoxication/withdrawal; this improves detection sensitivity and minimizes recall error.</p>
<p>Individuals with amphetamine-type stimulant (ATS) use frequently exhibit multiple psychiatric symptoms. The review showed that 26% experienced depression and 22% reported hallucinations. Among those with hallucinations, auditory types were present in 34% of cases, while visual types occurred in 32%. Importantly, individuals with psychotic symptoms often displayed more than one form of hallucination, indicating significant overlap among hallucination subtypes.</p>
<p>Several studies have confirmed the association between amphetamine use and a range of psychiatric disturbances, including depressive symptoms, violent behavior, impulsivity, and aggression (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B34">34</xref>). According to Fang et&#xa0;al., individuals who use methamphetamine with a concurrent psychiatric disorder were significantly more likely to die by suicide (OR&#xa0;=&#xa0;2.21; 95% CI: 1.84-2.64), with bipolar disorder showing the strongest association (OR&#xa0;=&#xa0;2.25; 95% CI: 1.88-2.69) (<xref ref-type="bibr" rid="B50">50</xref>).</p>
<p>Rawson et&#xa0;al. reported that individuals using methamphetamine who experienced auditory hallucinations during treatment had a 60% dropout rate, compared with 40% among those without hallucinations (p &lt; 0.05) (<xref ref-type="bibr" rid="B94">94</xref>). A strong link between suicide and depression or anxiety was also observed: Artenie et&#xa0;al. found that 45.1% of individuals using amphetamines who attempted suicide had received treatment for depression or anxiety, compared with 25.2% without such treatment (p&lt;0.001) (<xref ref-type="bibr" rid="B95">95</xref>). Moreover, a history of any psychiatric disorder significantly increased the likelihood of suicide attempts among individuals using amphetamines (52.9% vs. 26.7%, p &lt; 0.001). Further analysis revealed that treatment for anxiety or depression and a history of psychiatric disorders were associated with a 2.56-fold and 3.25-fold increase in suicide risk among individuals using methamphetamine, respectively (OR&#xa0;=&#xa0;2.56; 95% CI: 1.84-3.56; p &lt; 0.01 and OR&#xa0;=&#xa0;3.25; 95% CI: 2.39-4.41; p &lt; 0.01) (49). Methamphetamine-related neurobiological changes are thought to contribute to the persistence of psychiatric disturbances. Evidence suggests that stimulant exposure can induce alterations in brain function that manifest as psychotic symptoms, cognitive decline, and personality changes (<xref ref-type="bibr" rid="B37">37</xref>). These mechanisms provide a plausible context for the high rates of suicidality observed among individuals who use ATS, but they should be interpreted as supportive background rather than causal proof. In line with the aims of this meta-analysis, the emphasis remains on quantifying suicidality outcomes and their clinical implications, with biological mechanisms serving only as a concise explanatory framework (<xref ref-type="bibr" rid="B96">96</xref>).</p>
<p>Concurrent use of multiple substances was highly prevalent among individuals who use ATS disorder, with an estimated rate of 38%. Attafi et&#xa0;al. reported a significant association between concurrent use of multiple substances and an increased risk of suicide (<xref ref-type="bibr" rid="B90">90</xref>). Similarly, Ali et&#xa0;al. found that methamphetamine use, when combined with other substances, heightened the likelihood of impulsive and aggressive behaviors compared to single-drug use or use of non-methamphetamine substances (<xref ref-type="bibr" rid="B19">19</xref>). Rawson et&#xa0;al. further demonstrated that individuals enrolled in treatment programs for amphetamine use disorder were more likely to discontinue treatment if they concurrently used alcohol (56.8% vs. 43.2%, p &lt; 0.05) (<xref ref-type="bibr" rid="B94">94</xref>).</p>
<p>In our analysis of ATS-associated suicidality, 20% of individuals exhibited suicidality, including ideation and attempts, while 23% reported suicidal thoughts, 17% attempted suicide, and 13% died by suicide. The estimated average duration of amphetamine use was 5.13 years.</p>
<p>Research has described myriad psychological, demographic, and social factors that contribute to ATS use disorder and, consequently, suicidality. Frankeberger et&#xa0;al. found that patients with a low educational status were more likely to develop amphetamine use disorder (38.1% vs. 28.6%, OR 5.03; p&lt;0.05) (<xref ref-type="bibr" rid="B97">97</xref>). Lee et&#xa0;al. demonstrated that educational levels lower than high school were correlated with a risk of suicide among individuals with amphetamine use disorder (OR 2.83, p&lt;0.05) (<xref ref-type="bibr" rid="B80">80</xref>).</p>
<p>Further, Rawson et&#xa0;al. showed that difficulties in school were associated with a reduced probability of completing methamphetamine treatment programs (50.4% vs. 49.6%, p&lt;0.05) (<xref ref-type="bibr" rid="B94">94</xref>). Argento et&#xa0;al. established that higher educational attainment decreased the probability of suicide among people who use amphetamines (32.3% vs. 54.8%, p=0.017) (<xref ref-type="bibr" rid="B60">60</xref>).</p>
<p>Adverse childhood experiences (ACEs) are among the most prominent factors associated with increased risk of suicide. Lee et&#xa0;al. observed that individuals who had two or more ACEs were 3.29 times more likely to die by suicide, and those with three or more ACEs faced an even greater risk, 5.39 times higher (p&lt;0.05). They analyzed the relationship between amphetamine and ACEs and found that amphetamine acts as a mediator between ACEs and suicide among individuals with substance use disorder (<xref ref-type="bibr" rid="B70">70</xref>). Argento et&#xa0;al. showed that among individuals who use amphetamines, childhood trauma was a prominent predictor of suicidality, as those who displayed suicidality experienced childhood trauma at a significantly higher rate than those who were not suicidal (77.4% vs. 43.2%, p &lt; 0.001) (<xref ref-type="bibr" rid="B60">60</xref>).</p>
<p>Gender differences in suicidality among individuals who use methamphetamine reveal distinct patterns. Kaye et&#xa0;al. reported that male individuals with methamphetamine use disorder were more likely to die by suicide than females (14% vs. 12%) (<xref ref-type="bibr" rid="B86">86</xref>). A finding echoed by Ericsson et&#xa0;al., who noted that 12% of methamphetamine-related deaths among men were due to suicide (<xref ref-type="bibr" rid="B67">67</xref>). Conversely, Auten et&#xa0;al. observed a female predominance in suicidal ideation (65%) and suicide attempts (66%) among individuals using methamphetamine (<xref ref-type="bibr" rid="B66">66</xref>). Similarly, Artenie et&#xa0;al. identified male gender as a protective factor against substance use-related suicide deaths (HR&#xa0;=&#xa0;0.47, 95% CI: 0.30-0.74, p &lt; 0.05), while female individuals demonstrated a higher likelihood of attempting suicide (26.8% vs. 15.7%, p = 0.014) (49). Supporting this trend, Lee et&#xa0;al. found that female individuals using amphetamines were significantly more likely to die by suicide (OR&#xa0;=&#xa0;3.14; p&lt;0.05) (<xref ref-type="bibr" rid="B80">80</xref>).</p>
<p>Frankeberger et&#xa0;al. revealed that methamphetamine use disorder was more common among people with an insecure housing status (42.9% vs. 12.6%, p&lt;0.001) (<xref ref-type="bibr" rid="B97">97</xref>). Dixson et&#xa0;al. found that individuals who moved between three or more places of residence within six months were more likely to use methamphetamine (52% vs. 38.2%, p=0.025), and those with a generally unstable housing status were also more likely to use methamphetamine (27.6% vs. 15%, p=0.012) (<xref ref-type="bibr" rid="B76">76</xref>). Artenie et&#xa0;al. reported that sex work among individuals using amphetamines was highly predictive of suicide (OR 2.06, 95% CI: 1.26-3.38, p&lt;0.01), as 23.9% of individuals with amphetamine use disorder who engaged in sex work within six months of the study displayed suicidality, compared with 10.7% of those who did not (p&lt;0.001) (<xref ref-type="bibr" rid="B95">95</xref>). Moreover, Paydar et&#xa0;al. showed that suicidality was significantly predictive of treatment outcomes in individuals using methamphetamine, with those who had a history of suicidality displaying considerably worse treatment outcomes (OR 30.33, 95% CI: 3.11-295.24, p=0.003) (<xref ref-type="bibr" rid="B98">98</xref>). Additionally, Zarrabi et&#xa0;al. underscored the link between suicidal behaviors in individuals using methamphetamine and amphetamine-induced aggression, which is partially directed toward the self (<xref ref-type="bibr" rid="B53">53</xref>).</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>This review highlights the high prevalence of suicidality and psychiatric comorbidities among individuals who use ATS, including depression and hallucinations, bipolar disorder, violent behavior, impulsivity, and aggression. Sociodemographic factors, including low education levels, ACEs, unstable housing, and gender, also affect suicidality. While some studies report higher male mortality from suicide, others highlight a female preponderance in suicidality, warranting further sex-specific investigations. These findings underscore the complexity of ATS-related mental health challenges and suggest that targeted interventions for this population may be warranted. However, given the absence of comparative data with individuals without ATS use, these recommendations should be considered preliminary. Future research should focus on comparative analyses and longitudinal studies to better inform prevention strategies.</p>
<sec id="s5_1">
<label>5.1</label>
<title>Limitations</title>
<p>A critical limitation is the variability in how studies established the temporal and causal relationship between ATS use and suicidality. While some studies explicitly documented suicidality during active intoxication or withdrawal, others reported lifetime prevalence among individuals who use ATS disorder without clarifying timing. This methodological heterogeneity limits our ability to distinguish ATS-attributable suicidality from suicidality due to pre-existing psychiatric disorders or psychosocial factors. Future research should employ standardized assessment tools that capture the temporal sequence of substance use and suicidality.</p>
<p>The over-inclusion of cross-sectional studies in the current literature represents a significant limitation to the temporal interpretation of our findings. Specifically, the cross-sectional design prevents us from establishing whether the duration of ATS use is a preceding risk factor for suicidality or if the two are concurrent manifestations of a shared underlying vulnerability. This highlights the urgent need for prospective, longitudinal studies that can track individuals over time to clarify the causal and temporal pathways between ATS use, psychiatric comorbidity, and the development of suicidal ideation and attempts. Future meta-analyses should employ case-control designs or comparative cohort studies to establish whether ATS use confers incremental suicide risk beyond baseline rates in matched populations. Such research is essential to justify resource allocation for ATS-specific suicide prevention programs.</p>
<p>Further, only papers written in English were included, and the included studies were highly heterogeneous, with diverse research methodologies and some cross-sectional research.</p>
</sec>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SF1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding author.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>HA: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Methodology, Project administration, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. AA: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Validation, Writing &#x2013; original draft. MoA: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Validation, Writing &#x2013; original draft. BA: Conceptualization, Data curation, Investigation, Methodology, Validation, Writing &#x2013; review &amp; editing. MuA: Conceptualization, Data curation, Investigation, Validation, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>The authors extend their sincere gratitude to the Deanship of Scientific Research at Hail University for funding this study. They also extend their gratitude to those who contributed in facilitating this research.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s11" sec-type="disclaimer">
<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 id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpsyt.2026.1654091/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpsyt.2026.1654091/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table1.xlsx" id="SF1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"><label>SUPPLEMENTARY TABLE 1</label>
<caption>
<p>Data collection.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Table2.xlsx" id="SF2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"><label>SUPPLEMENTARY TABLE 2</label>
<caption>
<p>Sensitivity analysis.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Table3.docx" id="SF3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>SUPPLEMENTARY TABLE 3</label>
<caption>
<p>Summary and baseline characteristics of the included studies.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Table4.pdf" id="SF4" mimetype="application/pdf"><label>SUPPLEMENTARY TABLE 4</label>
<caption>
<p>Risk of bias for cross-sectional and cohort studies.</p>
</caption></supplementary-material></sec>
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