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Urine samples from 455 individuals aged 18 and above, collected in 2019, were analyzed using two LC-MS-based analytical methods and an HS-GC-FID method for the most frequently reported substances of abuse and medication. Data from case documents, encompassing gender, age, and the individual\u2019s role, were recorded in a database. Both the urine samples and the information from case documents were fully anonymized. The most frequently detected substance was alcohol (37% of all cases), followed by cannabis (22% of all cases) and central nervous system stimulants (24% of all cases). Other classes of substances detected included benzodiazepines, anabolic steroids, antipsychotic agents, and antidepressants. No drugs or alcohol were detected in 32% of the victims and 19% of the perpetrators. The study also examines the interrelationship of drug patterns between victims and perpetrators, and results show that both parties were influenced by substances at the time of the incident. Furthermore, there was a significant difference in the use of substances between perpetrators of blunt and sharp force cases and perpetrators in cases of sexual assault. Timely sample collection and a structured toxicological analysis of both victims and perpetrators in the same case are vital in clinical forensic cases to enhance comprehension of the connection between criminal activities and substance use. This understanding enables the development of prevention strategies at an informed level.<\/jats:p>","DOI":"10.1007\/s12024-024-00873-w","type":"journal-article","created":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T21:02:08Z","timestamp":1725483728000},"page":"522-531","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Detection of substance use in clinical forensic cases: urine analysis of victims and perpetrators"],"prefix":"10.1007","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5086-8199","authenticated-orcid":false,"given":"Pia Johansson","family":"Heinsvig","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katinka R\u00f8nnow","family":"Holler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian","family":"Lindholst","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Trine Skov","family":"Nielsen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,9,5]]},"reference":[{"issue":"3","key":"873_CR1","doi-asserted-by":"publisher","first-page":"373","DOI":"10.3109\/00952999409106021","volume":"20","author":"J Yu","year":"1994","unstructured":"Yu J, Williford WR. 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