Evidence map›Paper›PMID 42726212›Full record

ArticleInternational journal of legal medicine2026

Fentanyl in forensic autopsies: Trends, circumstances, and toxicological findings.

Murat Nihat Arslan, İsmail Çoban, Yusuf Atan, Hızır Aslıyüksek

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Article in International journal of legal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Murat Nihat ArslanDepartment of Forensic Medicine, Faculty of Medicine, Yeditepe University, Ataşehir / İstanbul, 34755, Türkiye. nihat.arslan@yeditepe.edu.tr.ORCID http://orcid.org/0000-0002-9916-5109
İsmail ÇobanMorgue Department, Council of Forensic Medicine, Fevzi Cakmak Mah. Kimiz Sk. No1, Bahcelievler /İstanbul, 34197, Türkiye.ORCID http://orcid.org/0000-0001-8154-180X
Yusuf AtanCouncil of Forensic Medicine, Fevzi Cakmak Mah. Kimiz Sk. No1, Bahcelievler /İstanbul, 34197, Türkiye.ORCID http://orcid.org/0000-0002-8716-9452
Hızır AslıyüksekCouncil of Forensic Medicine, Fevzi Cakmak Mah. Kimiz Sk. No1, Bahcelievler /İstanbul, 34197, Türkiye.ORCID http://orcid.org/0000-0001-6845-3717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostmortem fentanyl detection in medicolegal autopsy cases presents a fundamental interpretive challenge: detection does not inherently indicate non-medical use or causal involvement in death. Systematic frameworks for contextualizing fentanyl findings remain underutilized in forensic practice, particularly in settings with limited antemortem documentation.

methodsAll medicolegal autopsy cases with postmortem fentanyl detection between January 2019 and December 2024 at a high-volume metropolitan forensic autopsy institution were retrospectively analyzed. A structured three-tier exposure context classification (consistent with therapeutic indication, non-medical use, or indeterminate) was applied using routinely available autopsy variables including co-detected substances, clinical intervention markers, incident type, and external examination findings.

resultsAmong 842 fentanyl-positive cases, 731 (86.8%) were classified as consistent with therapeutic indication, 68 (8.1%) as non-medical use, and 43 (5.1%) as indeterminate. Annual case numbers increased 87.3% over the study period. Cases meeting combined classical forensic criteria showed 90.5% non-medical classification. Non-medical decedents were markedly younger (mean 32.4 vs. 45.0 years) and more predominantly male (82.4% vs. 76.3%). Amphetamine-type stimulants predominated among co-detected illicit substances; opioid-on-opioid co-detection was rare. Tattoo presence and self-inflicted scarring were significantly more frequent in the non-medical group (p < 0.001).

conclusionA structured, variable-based classification framework can meaningfully stratify postmortem fentanyl cases by exposure context using routinely available autopsy data. Systematic contextual assessment should be a standard component of medicolegal fentanyl investigation across diverse forensic settings.

Indexed as

Drug-detected deathExposure contextFentanylForensic toxicologyMedicolegal autopsyPolysubstance usePostmortem toxicology

Identifiers

PMID42726212

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.