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<article xmlns:xlink="http://www.w3.org/1999/xlink" article-type="letter" dtd-version="2.0">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JMIR</journal-id>
      <journal-id journal-id-type="nlm-ta">J Med Internet Res</journal-id>
      <journal-title>Journal of Medical Internet Research</journal-title>
      <issn pub-type="epub">1438-8871</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v27i1e65031</article-id>
      <article-id pub-id-type="pmid">39965201</article-id>
      <article-id pub-id-type="doi">10.2196/65031</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Letter</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Research Letter</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Self-Reported Side Effects Associated With Selective Androgen Receptor Modulators: Social Media Data Analysis</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Mavragani</surname>
            <given-names>Amaryllis</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Gaudiano</surname>
            <given-names>Maria Cristina</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Wani</surname>
            <given-names>AasimAyaz</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Joshi</surname>
            <given-names>Aditya</given-names>
          </name>
          <degrees>MS</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>Department of Internal Medicine</institution>
            <institution>Phoenix Health Sciences Campus</institution>
            <institution>Creighton University School of Medicine</institution>
            <addr-line>3100 N Central Ave</addr-line>
            <addr-line>Phoenix, AZ, 85012</addr-line>
            <country>United States</country>
            <phone>1 (602) 812 4312</phone>
            <email>aditya.joshi.research@gmail.com</email>
          </address>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-1015-6848</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Kaune</surname>
            <given-names>Diego Federico</given-names>
          </name>
          <degrees>BA</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0002-9490-4344</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Leff</surname>
            <given-names>Phillip</given-names>
          </name>
          <degrees>DO</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0009-7379-7579</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Fraser</surname>
            <given-names>Emily</given-names>
          </name>
          <degrees>BA</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-6310-2088</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Lee</surname>
            <given-names>Sarah</given-names>
          </name>
          <degrees>BS</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-9158-4990</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author">
          <name name-style="western">
            <surname>Harrison</surname>
            <given-names>Morgan</given-names>
          </name>
          <degrees>BS</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-8629-5326</ext-link>
        </contrib>
        <contrib id="contrib7" contrib-type="author">
          <name name-style="western">
            <surname>Hazin</surname>
            <given-names>Moustafa</given-names>
          </name>
          <degrees>DO</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0003-5225-5785</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Department of Internal Medicine</institution>
        <institution>Phoenix Health Sciences Campus</institution>
        <institution>Creighton University School of Medicine</institution>
        <addr-line>Phoenix, AZ</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Johns Hopkins University</institution>
        <addr-line>Baltimore, MD</addr-line>
        <country>United States</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Aditya Joshi <email>aditya.joshi.research@gmail.com</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>18</day>
        <month>2</month>
        <year>2025</year>
      </pub-date>
      <volume>27</volume>
      <elocation-id>e65031</elocation-id>
      <history>
        <date date-type="received">
          <day>6</day>
          <month>8</month>
          <year>2024</year>
        </date>
        <date date-type="rev-request">
          <day>29</day>
          <month>11</month>
          <year>2024</year>
        </date>
        <date date-type="rev-recd">
          <day>19</day>
          <month>12</month>
          <year>2024</year>
        </date>
        <date date-type="accepted">
          <day>31</day>
          <month>12</month>
          <year>2024</year>
        </date>
      </history>
      <copyright-statement>©Aditya Joshi, Diego Federico Kaune, Phillip Leff, Emily Fraser, Sarah Lee, Morgan Harrison, Moustafa Hazin. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 18.02.2025.</copyright-statement>
      <copyright-year>2025</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://www.jmir.org/2025/1/e65031" xlink:type="simple"/>
      <abstract>
        <p>This study focuses on the prevalence and dangers of selective androgen receptor modulator use through a social media (Reddit) analysis. Physicians should be aware that patients are increasingly seeking medical advice through social media, and adverse events are likely underreported in the literature.</p>
      </abstract>
      <kwd-group>
        <kwd>selective androgen receptor modulator</kwd>
        <kwd>SARM</kwd>
        <kwd>liver toxicity</kwd>
        <kwd>social media</kwd>
        <kwd>data analysis</kwd>
        <kwd>anabolic</kwd>
        <kwd>muscle</kwd>
        <kwd>bone</kwd>
        <kwd>toxicities</kwd>
        <kwd>self-report</kwd>
        <kwd>side effect</kwd>
        <kwd>retrospective analysis</kwd>
        <kwd>public post</kwd>
        <kwd>Reddit</kwd>
        <kwd>androgen receptor ligands</kwd>
        <kwd>drug</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>Selective androgen receptor modulators (SARMs) are synthetic androgen receptor ligands designed to have anabolic effects in muscle and bone while minimizing unwanted androgenic effects in areas like the prostate and cardiovascular system [<xref ref-type="bibr" rid="ref1">1</xref>]. This tissue selectivity makes SARMs an attractive option for treating conditions such as osteoporosis and muscle wasting while avoiding the systemic side effects associated with traditional androgen therapies. However, no SARM has received US Food and Drug Administration approval to date. Studies show SARMs are associated with acute hepatotoxicity [<xref ref-type="bibr" rid="ref2">2</xref>], and recent case reports indicate long-term testosterone suppression along with nephrotoxicity and cardiotoxicity [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>]. Abuse of SARMs has become increasingly prevalent due to targeting of both athletes and youth through social media platforms. While reports of SARM abuse and toxicity have been rising, no study has examined adverse events (AEs) and laboratory data using self-reported social media posts.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Overview</title>
        <p>This study involved a retrospective analysis of public posts from March 2015 to November 2023 on Reddit. Data collection used a Python-based script to extract and filter posts from SARM-related subreddits. Posts were identified through a keyword-matching process, using “liver,” “AST,” “ALT,” “lab-work,” “bloodwork,” and “symptoms.” Initial keywords were selected and refined to capture posts reporting laboratory results and hepatic outcomes associated with SARM use. Posts were manually reviewed and systematically excluded if unrelated to SARM use. Posts were categorized based on users’ self-reported stages of SARM use: “precycle,” “midcycle,” and “postcycle” (<xref rid="figure1" ref-type="fig">Figure 1</xref>). Demographic data, specific SARMs taken, mentions of concurrent medications, self-reported symptoms, and self-reported laboratory values were extracted. Means of self-reported laboratory values were calculated and compared across stages of SARM use. Female posters were excluded from the calculations of luteinizing hormone, follicle-stimulating hormone, total testosterone, free testosterone, estrogen, and sex hormone–binding globulin.</p>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Flowchart of data extraction methodology. Data extraction of posts from selective androgen receptor modulator (SARM)–related subreddits yielded 7786 initial posts. Manual data cleaning removed 2537 duplicates and 1372 uncategorizable posts. The remaining 3877 posts were classified into pre-SARM use (n=1694), mid-SARM use (n=1412), and post-SARM use (n=771). Clinical laboratory values were voluntarily reported in 438 pre-use, 240 mid-use, and 343 post-use posts, enabling analysis of physiological changes associated with recreational SARM use. This retrospective analysis captured real-world SARM use patterns and their associated clinical outcomes in a young male population.</p>
          </caption>
          <graphic xlink:href="jmir_v27i1e65031_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
      <sec>
        <title>Ethical Considerations</title>
        <p>To protect user privacy, identifying information was anonymized during data extraction. Data were aggregated to prevent linkage to individual users. No identifiable information was retained or reported. This study was exempt from institutional review board approval and strictly adhered to ethical guidelines for digital data use.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>Initially, 5249 unique posts were extracted, of which 1372 were excluded due to irrelevance or the inability to categorize the stage of SARM use. Of the remaining 3877 posts, 1694 were pre-SARM use, 1412 were mid-SARM use, and 771 were post-SARM use. RAD140 was the most mentioned SARM, with 1389 posts. The mean reported age was 27 (range 13-63, SD 7.9) years. In 418 posts reporting gender, 20 (4.8%) posters identified as female. Significant changes in aspartate aminotransferase, alanine aminotransferase, creatinine kinase, high-density lipoprotein, low-density lipoprotein, total testosterone, and sex hormone–binding globulin were observed before, during, and after SARM use (<xref ref-type="table" rid="table1">Table 1</xref> and <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). Of 2183 SARM users, 382 (17.5%) reported using tamoxifen or enclomiphene, and 170 (7.8%) reported using N-acetylcysteine or other hepatoprotective supplements (milk thistle or tauroursodeoxycholic acid) during or after SARM use.</p>
      <table-wrap position="float" id="table1">
        <label>Table 1</label>
        <caption>
          <p>A comparison of the mean self-reported clinical markers before, during, and after selective androgen receptor modulator (SARM) use. This retrospective analysis examined changes in liver function, kidney function, hormones, and lipid profiles in recreational SARM users who voluntarily reported laboratory results. Of note, the study population consisted primarily of young men. Statistical significance was assessed using paired t tests comparing baseline values to both during-use and post-use periods. <italic>P</italic>&#60;.05 indicates statistical significance. The large SDs in many measurements indicate high variability in individual physiological responses. Normal values refer specifically to men. Women were removed from the analysis of luteinizing hormone, follicle-stimulating hormone, total testosterone, free testosterone, estrogen, and sex hormone–binding globulin.</p>
        </caption>
        <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
          <col width="190"/>
          <col width="90"/>
          <col width="90"/>
          <col width="90"/>
          <col width="90"/>
          <col width="90"/>
          <col width="90"/>
          <col width="90"/>
          <col width="90"/>
          <col width="90"/>
          <thead>
            <tr valign="top">
              <td>Clinical markers</td>
              <td>Normal values</td>
              <td colspan="2">Before SARM use</td>
              <td colspan="2">During SARM use</td>
              <td><italic>P</italic> value</td>
              <td colspan="2">After SARM use</td>
              <td><italic>P</italic> value</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Posts, n</td>
              <td>Self-reported values, mean (SD)</td>
              <td>Posts, n</td>
              <td>Self-reported values, mean (SD)</td>
              <td>
                <break/>
              </td>
              <td>Posts, n</td>
              <td>Self-reported values, mean (SD)</td>
              <td>
                <break/>
              </td>
            </tr>
          </thead>
          <tbody>
            <tr valign="top">
              <td>Aspartate aminotransferase (U/L)</td>
              <td>10-30</td>
              <td>121</td>
              <td>27.7 (17.6)</td>
              <td>89</td>
              <td>74.3 (85.5)</td>
              <td>&#60;.001</td>
              <td>125</td>
              <td>83.5 (322.1)</td>
              <td>.03</td>
            </tr>
            <tr valign="top">
              <td>Alanine aminotransferase (U/L)</td>
              <td>10-40</td>
              <td>143</td>
              <td>29.5 (19.8)</td>
              <td>99</td>
              <td>125.6 (171.9)</td>
              <td>&#60;.001</td>
              <td>139</td>
              <td>108.7 (318.9)</td>
              <td>.002</td>
            </tr>
            <tr valign="top">
              <td>Alkaline phosphatase (U/L)</td>
              <td>30-120</td>
              <td>84</td>
              <td>76.4 (25.2)</td>
              <td>43</td>
              <td>68.8 (28.7)</td>
              <td>.06</td>
              <td>78</td>
              <td>70.9 (35.5)</td>
              <td>.12</td>
            </tr>
            <tr valign="top">
              <td>Bilirubin (mg/dL)</td>
              <td>0.3-1.2</td>
              <td>88</td>
              <td>1.5 (3.8)</td>
              <td>41</td>
              <td>1.0 (1.9)</td>
              <td>.18</td>
              <td>79</td>
              <td>1.3 (4.8)</td>
              <td>.35</td>
            </tr>
            <tr valign="top">
              <td>Creatinine (mg/dL)</td>
              <td>0.6-1.2</td>
              <td>77</td>
              <td>1.1 (0.2)</td>
              <td>41</td>
              <td>1.1 (0.2)</td>
              <td>.41</td>
              <td>71</td>
              <td>1.1 (0.2)</td>
              <td>.21</td>
            </tr>
            <tr valign="top">
              <td>Creatine kinase (U/L)</td>
              <td>40-150</td>
              <td>9</td>
              <td>259.1 (344.6)</td>
              <td>11</td>
              <td>727.1 (675.2)</td>
              <td>.03</td>
              <td>8</td>
              <td>683.1 (450.7)</td>
              <td>.02</td>
            </tr>
            <tr valign="top">
              <td>Luteinizing hormone (U/L)</td>
              <td>1.24-7.8</td>
              <td>195</td>
              <td>6.1 (17.0)</td>
              <td>78</td>
              <td>4.8 (3.2)</td>
              <td>.25</td>
              <td>145</td>
              <td>6.0 (7.8)</td>
              <td>.48</td>
            </tr>
            <tr valign="top">
              <td>Follicle-stimulating hormone (U/L)</td>
              <td>1.4-15.4</td>
              <td>187</td>
              <td>4.8 (11.1)</td>
              <td>74</td>
              <td>3.7 (2.5)</td>
              <td>.21</td>
              <td>135</td>
              <td>4.2 (3.4)</td>
              <td>.27</td>
            </tr>
            <tr valign="top">
              <td>High-density lipoprotein (mg/dL)</td>
              <td>≥60</td>
              <td>116</td>
              <td>44.5 (17.9)</td>
              <td>59</td>
              <td>31.1 (14.9)</td>
              <td>&#60;.001</td>
              <td>107</td>
              <td>31.3 (14.6)</td>
              <td>&#60;.001</td>
            </tr>
            <tr valign="top">
              <td>Low-density lipoprotein (mg/dL)</td>
              <td>&#60;100</td>
              <td>115</td>
              <td>80.6 (43.4)</td>
              <td>54</td>
              <td>100.3 (50.5)</td>
              <td>.004</td>
              <td>108</td>
              <td>98.4 (50.7)</td>
              <td>.002</td>
            </tr>
            <tr valign="top">
              <td>Cholesterol (mg/dL)</td>
              <td>&#60;200</td>
              <td>105</td>
              <td>132.0 (49.2)</td>
              <td>45</td>
              <td>142.8 (61.7)</td>
              <td>.13</td>
              <td>84</td>
              <td>136.4 (56.2)</td>
              <td>.28</td>
            </tr>
            <tr valign="top">
              <td>Triglycerides (mg/dL)</td>
              <td>&#60;150</td>
              <td>84</td>
              <td>50.6 (28.0)</td>
              <td>40</td>
              <td>67.7 (54.7)</td>
              <td>.01</td>
              <td>71</td>
              <td>57.6 (38.6)</td>
              <td>.10</td>
            </tr>
            <tr valign="top">
              <td>Total testosterone (ng/dL)</td>
              <td>270-1070</td>
              <td>388</td>
              <td>585.5 (233.8)</td>
              <td>177</td>
              <td>358.6 (325.8)</td>
              <td>&#60;.001</td>
              <td>291</td>
              <td>457.7 (346.3)</td>
              <td>&#60;.001</td>
            </tr>
            <tr valign="top">
              <td>Free testosterone (pg/mL)</td>
              <td>66-309</td>
              <td>188</td>
              <td>90.1 (80.8)</td>
              <td>95</td>
              <td>94.9 (118.8)</td>
              <td>.33</td>
              <td>123</td>
              <td>86.0 (74.6)</td>
              <td>.32</td>
            </tr>
            <tr valign="top">
              <td>Estrogen (pg/mL)</td>
              <td>10-50</td>
              <td>171</td>
              <td>32.2 (23.4)</td>
              <td>85</td>
              <td>41.5 (61.7)</td>
              <td>.04</td>
              <td>136</td>
              <td>33.1 (18.9)</td>
              <td>.36</td>
            </tr>
            <tr valign="top">
              <td>Sex hormone–binding globulin (nmol/L)</td>
              <td>14-78</td>
              <td>146</td>
              <td>43.9 (98.8)</td>
              <td>82</td>
              <td>12.8 (10.7)</td>
              <td>.003</td>
              <td>108</td>
              <td>22.0 (16.7)</td>
              <td>.01</td>
            </tr>
            <tr valign="top">
              <td>Hemoglobin (g/dL)</td>
              <td>14-18</td>
              <td>58</td>
              <td>19.9 (25.4)</td>
              <td>24</td>
              <td>20.8 (28.5)</td>
              <td>.45</td>
              <td>51</td>
              <td>14.5 (2.9)</td>
              <td>.07</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>Recent years have seen an alarming increase in targeted marketing of SARMs on social media, where they are portrayed as safe and effective [<xref ref-type="bibr" rid="ref5">5</xref>]. Despite being illegal to sell for human consumption, SARMs are available for purchase through numerous online platforms, including commercial websites and chemical suppliers [<xref ref-type="bibr" rid="ref6">6</xref>]. This analysis revealed that prior, current, and prospective SARM users frequently discuss their experiences, sources, dosing regimens, perceived benefits, laboratory results, and AEs on social media. Distributors also frequent these platforms to offer advice while marketing their products.</p>
      <p>Our analysis revealed serious AEs of SARMs, with hepatotoxicity as a prominent concern. Comparing mean aspartate aminotransferase and alanine aminotransferase values across different stages of SARM use showed significant increases, indicative of drug-induced liver injury. Users attempted to self-manage hepatic complications through N-acetylcysteine, milk thistle, and tauroursodeoxycholic acid supplementation and hormonal imbalances with tamoxifen and enclomiphene. Our findings corroborate previous literature that has reported consistent patterns of hepatic changes attributable to SARM use [<xref ref-type="bibr" rid="ref7">7</xref>].</p>
      <p>This analysis has important limitations. The demographics of the sample predominantly comprised young men, limiting generalizability across gender and age. While self-reported laboratory values offer valuable preliminary insights, interindividual variability and small sample sizes in the reported data present an inherent challenge. To increase the robustness of the findings, future work should integrate traditional clinical data and include sensitivity analysis or weighted modeling. Moreover, since efforts were made to capture a wide net of hepatotoxic-specific data, the extraction methodology may underrepresent other AEs. Nonetheless, our findings highlight the need for increased awareness and regulation to address a growing public health crisis posed by SARM abuse. Until then, physicians should recognize that patients are increasingly seeking medical advice through social media and that AEs are likely underreported in the literature.</p>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Changes in liver function tests with selective androgen receptor modulator (SARM) use. Changes in mean aspartate aminotransferase (AST), alanine aminotransferase (ALT), and alkaline phosphatase levels across 3 time periods: before (black bars), during (light gray bars), and after (dark gray bars) SARM use. Data were collected from self-reported laboratory values posted by young men on online forums. Sample sizes varied for each marker: AST (before: n=121; during: n=89; after: n=125), ALT (before: n=143; during: n=99; after: n=139), and alkaline phosphatase (before: n=84; during: n=43; after: n=78). Statistical significance is indicated by asterisks (*<italic>P</italic>&#60;.05, **<italic>P</italic>&#60;.01, ***<italic>P</italic>&#60;.001). Values are presented as means with error bars representing SDs. Notable elevations were observed in both AST and ALT during and after SARM use, while alkaline phosphatase remained relatively stable.</p>
        <media xlink:href="jmir_v27i1e65031_app1.png" xlink:title="PNG File , 108 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">AE</term>
          <def>
            <p>adverse event</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">SARM</term>
          <def>
            <p>selective androgen receptor modulator</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <notes>
      <sec>
        <title>Data Availability</title>
        <p>The data sets generated during and/or analyzed during this study are available from the corresponding author on reasonable request.</p>
      </sec>
    </notes>
    <fn-group>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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