title: Fatal crashes from drivers testing positive for drugs in the U.S., 1993-2010.
abstract: OBJECTIVE
  Illegal drug use is a persistent problem, prescription drug abuse is on the rise, and there is clinical evidence that drug use reduces driving performance. This study describes trends in characteristics of drivers involved in fatal motor vehicle crashes who test positive for drugs.
  
  
  METHODS
  We used the Fatality Analysis Reporting System-a census of motor vehicle crashes resulting in at least one fatality on U.S. public roads-to investigate suspected drug use for the period 1993-2010.
  
  
  RESULTS
  Drugged drivers who were tested for drug use accounted for 11.4% of all drivers involved in fatal motor vehicle crashes in 2010. Drugged drivers are increasingly likely to be older drivers, and the percentage using multiple drugs increased from 32.6% in 1993 to 45.8% in 2010. About half (52.4%) of all drugged drivers used alcohol, but nearly three-quarters of drivers testing positive for cocaine also used alcohol. Prescription drugs accounted for the highest fraction of drugs used by drugged drivers in fatal crashes in 2010 (46.5%), with much of the increase in prevalence occurring since the mid-2000s.
  
  
  CONCLUSIONS
  The profile of a drugged driver has changed substantially over time. An increasing share of these drivers is now testing positive for prescription drugs, cannabis, and multiple drugs. These findings have implications for developing interventions to address the changing nature of drug use among drivers in the U.S.
authors: University of Nebraska Medical Center, Department of Health Services Research and Administration, Omaha, NE.
authors: Fernando A
authors: FA
authors: Wilson
authors: University of Nebraska Medical Center, Department of Health Services Research and Administration, Omaha, NE.
authors: Jim P
authors: JP
authors: Stimpson
authors: New York Academy of Medicine, Center for Health Innovation, New York, NY.
authors: José A
authors: JA
authors: Pagán
mesh_terms: D000063:Accidents, Traffic / Q000401:mortality* / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000435:Alcoholic Intoxication / Q000453:epidemiology; D000701:Analgesics, Opioid / Q000008:administration & dosage; D001334:Automobile Driving / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D013287:Illicit Drugs; D008297:Male; D002189:Marijuana Abuse / Q000453:epidemiology; D008875:Middle Aged; D015995:Prevalence; D012111:Residence Characteristics; D019966:Substance-Related Disorders / Q000453:epidemiology*; D014481:United States; D055815:Young Adult
chemical_list: D000701:Analgesics, Opioid; D013287:Illicit Drugs