{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T18:20:39Z","timestamp":1787768439144,"version":"build-2784847793"},"reference-count":18,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T00:00:00Z","timestamp":1787443200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["The American Surgeon\u2122"],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Substance use is a known risk factor for traumatic injury. While prior studies have evaluated outcomes associated with individual substances, there is a paucity of literature comparing outcomes across multiple drug classes. This study aimed to compare 30-day mortality and in-hospital complications among trauma patients with positive vs negative urine drug screens (UDS).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted a retrospective study using the American College of Surgeons Trauma Quality Improvement Program (TQIP) database from 2013 to 2021. Adult patients aged 18-90 years with a recorded UDS were included, and those with polysubstance use were excluded. Positive UDS was defined as detection of amphetamines, barbiturates, cocaine, methamphetamine, 3,4-methylenedioxymethamphetamine (MDMA), phencyclidine (PCP), tricyclic antidepressants (TCA), or cannabinoids. Each positive cohort was matched to a negative cohort by age, sex, and injury severity score. Logistic regression was used to estimate odds ratios (ORs).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 704,033 patients were included. Positive screens for amphetamines (OR 0.82,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001), cocaine (OR 0.78,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001), and cannabinoids (OR 0.67,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001) were associated with lower odds of 30-day mortality. No significant mortality differences were observed for other substances. Higher odds of in-hospital complications were observed for TCA (OR 1.74), PCP (OR 1.61), methamphetamine (OR 1.41), cocaine (OR 1.30), amphetamines (OR 1.22), and cannabinoids (OR 1.11) (all\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001), barbiturates and MDMA were not significant.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Substance-specific differences exist in trauma outcomes. While some substances are associated with decreased mortality, many are associated with increased complications, suggesting a need to prioritize complication-focused management. Limitations include underreporting of substance use.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/00031348261480799","type":"journal-article","created":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T06:21:52Z","timestamp":1787552512000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Dissecting the Impact of Substance Use on Trauma: High Morbidity Does Not Uniformly Dictate Increased Mortality"],"prefix":"10.1177","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-6103-299X","authenticated-orcid":false,"given":"Dallas T.","family":"Ryan","sequence":"first","affiliation":[{"name":"The George Washington University School of Medicine and Health Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mary","family":"Matecki","sequence":"additional","affiliation":[{"name":"The George Washington University School of Medicine and Health Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jayati","family":"Atahar","sequence":"additional","affiliation":[{"name":"The George Washington University School of Medicine and Health Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sean","family":"Lee","sequence":"additional","affiliation":[{"name":"The George Washington University School of Medicine and Health Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4688-1523","authenticated-orcid":false,"given":"Susan","family":"Kartiko","sequence":"additional","affiliation":[{"name":"The George Washington University School of Medicine and Health Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,8,23]]},"reference":[{"key":"e_1_3_5_2_2","doi-asserted-by":"publisher","DOI":"10.1097\/SLA.0000000000000600"},{"key":"e_1_3_5_3_2","doi-asserted-by":"crossref","unstructured":"Cairns CKK. 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