Patterns of drug use in fatal crashes

Addiction. 2013 Aug;108(8):1428-38. doi: 10.1111/add.12180. Epub 2013 Apr 22.

Abstract

Aims: To characterize drug prevalence among fatally injured drivers, identify significant associations (i.e. day of week, time of day, age, gender), and compare findings with those for alcohol.

Design: Descriptive and logistic mixed-model regression analyses of Fatality Analysis Reporting System data.

Setting: US states with drug test results for >80% of fatally injured drivers, 1998-2010.

Participants: Drivers killed in single-vehicle crashes on public roads who died at the scene of the crash (n = 16 942).

Measurements: Drug test results, blood alcohol concentration (BAC), gender, age and day and time of crash.

Findings: Overall, 45.1% of fatally injured drivers tested positive for alcohol (39.9% BAC ≥ 0.08) and 25.9% for drugs. The most common drugs present were stimulants (7.2%) and cannabinols (7.1%), followed by 'other' drugs (4.1%), multiple drugs (4.1%), narcotics (2.1%) and depressants (1.5%). Drug-involved crashes occurred with relative uniformity throughout the day while alcohol-involved crashes were more common at night (P < 0.01). The odds of testing positive for drugs varied depending upon drug class, driver characteristics, time of day and the presence of alcohol.

Conclusions: Fatal single-vehicle crashes involving drugs are less common than those involving alcohol and the characteristics of drug-involved crashes differ, depending upon drug class and whether alcohol is present. Concerns about drug-impaired driving should not detract from the current law enforcement focus on alcohol-impaired driving.

Keywords: AID; DUID; alcohol; drugs; fatal crashes.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Accidents, Traffic / statistics & numerical data*
  • Adolescent
  • Adult
  • Age Distribution
  • Aged
  • Alcohol Drinking / mortality
  • Automobile Driving / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Prevalence
  • Regression Analysis
  • Residence Characteristics / statistics & numerical data
  • Sex Distribution
  • Substance-Related Disorders / mortality*
  • Time Factors
  • United States / epidemiology
  • Young Adult