Polysubstance impairment detected in fatally injured drivers, United States, 2018-2022.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Polysubstance impairment detected in fatally injured drivers, United States, 2018-2022.
Συγγραφείς: Mathews JN; Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, 715 North Pleasant St., Amherst, MA 01003, USA. Electronic address: jmathews153@gmail.com., Chihuri S; Department of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th St., New York, NY 10032, USA. Electronic address: stc2126@cumc.columbia.edu., Li G; Department of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th St., New York, NY 10032, USA; Department of Anesthesiology, Columbia University Vagelos College of Physicians and Surgeons, 622 West 168th St., PH5-505, New York, NY 10032, USA. Electronic address: GL2240@cumc.columbia.edu.
Πηγή: Accident; analysis and prevention [Accid Anal Prev] 2026 Jun; Vol. 231, pp. 108506. Date of Electronic Publication: 2026 Mar 16.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Pergamon Press Country of Publication: England NLM ID: 1254476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2057 (Electronic) Linking ISSN: 00014575 NLM ISO Abbreviation: Accid Anal Prev Subsets: MEDLINE
Imprint Name(s): Publication: Oxford : Pergamon Press
Original Publication: [New York, Pergamon Press]
Ιατρικοί όροι (MeSH): Accidents, Traffic*/mortality , Accidents, Traffic*/statistics & numerical data , Driving Under the Influence*/statistics & numerical data , Substance-Related Disorders*/epidemiology, United States/epidemiology ; Humans ; Male ; Adult ; Female ; Middle Aged ; Young Adult ; Adolescent ; Blood Alcohol Content ; Logistic Models ; Aged
Περίληψη: Polysubstance-impaired driving is an emerging public safety concern. However, research on polysubstance-impaired driving is scant. We used 2018-2022 Fatality Analysis Reporting System data and logistic regression modeling to assess the prevalence of, and factors associated with, polysubstance impairment among drivers aged 14 years and older who died within 1 h of motor vehicle crashes and who had toxicological testing data available (n = 60,741). Polysubstance impairment was defined as having a blood alcohol concentration (BAC) ≥ 0.08 g/dL and testing positive for one or more nonalcohol drugs. The prevalence of polysubstance impairment increased from 14.9% in 2018 to 18.8% in 2022 (p < 0.0001). Cannabis was the most frequently detected nonalcohol drug (25.0%), followed by stimulants (19.2%), and narcotics (8.3%). With adjustment for demographic characteristics, drivers who died in nighttime (7 PM to 6 AM) crashes were almost three times as likely as those who died in daytime (7 AM to 6 PM) crashes to be polysubstance-impaired (adjusted odds ratio [aOR]: 2.94, 95% confidence interval [CI]: 2.80-3.10). Relative to drivers who died in 2018, the odds of polysubstance impairment increased 15% in 2019 (aOR: 1.15, 95% CI: 1.07-1.24), 25% in 2020 (aOR: 1.25, 95% CI: 1.16-1.34), 32% in 2021 (aOR: 1.32, 95% CI: 1.23-1.42) and 38% in 2022 (aOR: 1.38, 95% CI: 1.28-1.49). Results of this study indicate that polysubstance-impaired driving is increasingly involved in fatal motor vehicle crashes. Interventions to reduce polysubstance impairment among drivers are urgently needed for improving traffic safety.
(Copyright © 2026 Elsevier Ltd. All rights reserved.)
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Contributed Indexing: Keywords: Driving safety; Drug surveillance; Fatal crashes; Fatality Analysis Reporting System; Impaired driving; Polysubstance impairment
Substance Nomenclature: 0 (Blood Alcohol Content)
Entry Date(s): Date Created: 20260318 Date Completed: 20260711 Latest Revision: 20260711
Update Code: 20260711
DOI: 10.1016/j.aap.2026.108506
PMID: 41846100
Βάση Δεδομένων: MEDLINE