TY - JOUR
T1 - Intercorrelation of Alcohol and Other Drug Use Disorders among a National Sample of Drivers
AU - Scherer, Michael
AU - Canham, Sarah
AU - Voas, Robert B.
AU - Furr-Holden, C. Debra
N1 - Funding Information:
The 2007 National Roadside Survey from which the data for this study were used was funded by the National Highway Traffic Safety Administration under contract number DTNH22-6-C-00040 and by the National Institute on Alcohol Abuse and Alcoholism under grant R01 AA0016407. The analysis and reporting of the data were supported by the National Institute on Alcohol Abuse and Alcoholism under grants R01 AA0016407, R01 AA018352, P20 AA017831, and National Institute on Drug Abuse grant T32DA007292.
Publisher Copyright:
© 2018 Taylor & Francis Group, LLC.
PY - 2018/3/15
Y1 - 2018/3/15
N2 - This study examined the relationship between alcohol, marijuana, cocaine, and painkiller use disorders in a sample of drivers. We studied nighttime drivers aged 16 to 87 (n = 4,277) from the 2007 National Roadside Survey who reported substance use behaviors and provided breath tests for alcohol. Logistic regression analyses assessed the relationships between (1) substance (i.e., alcohol/marijuana/cocaine/pain killer) use disorders; (2) demographic characteristics; and (3) BAC levels. Overall, 13.2% of participants met criteria for marijuana use disorder, 7% met criteria for cocaine use disorder, and 15.4% met criteria for extra-medicinal painkiller use disorder. When self-report data were analyzed, three reciprocal associations emerged: (1) marijuana use disorders and alcohol use disorders were correlated; (2) marijuana use disorders and cocaine use disorders were correlated; and (3) cocaine use disorders and painkiller use disorders were correlated. BAC data revealed that marijuana and cocaine use disorders were both associated with positive BAC levels, but only cocaine use disorders were associated with BAC levels over the legal limit. Results suggest significant poly-substance use disorders in a sample of nighttime drivers, with variations by demographic characteristics. The individual and public health consequences of multiple substance use disorders among drivers are significant.
AB - This study examined the relationship between alcohol, marijuana, cocaine, and painkiller use disorders in a sample of drivers. We studied nighttime drivers aged 16 to 87 (n = 4,277) from the 2007 National Roadside Survey who reported substance use behaviors and provided breath tests for alcohol. Logistic regression analyses assessed the relationships between (1) substance (i.e., alcohol/marijuana/cocaine/pain killer) use disorders; (2) demographic characteristics; and (3) BAC levels. Overall, 13.2% of participants met criteria for marijuana use disorder, 7% met criteria for cocaine use disorder, and 15.4% met criteria for extra-medicinal painkiller use disorder. When self-report data were analyzed, three reciprocal associations emerged: (1) marijuana use disorders and alcohol use disorders were correlated; (2) marijuana use disorders and cocaine use disorders were correlated; and (3) cocaine use disorders and painkiller use disorders were correlated. BAC data revealed that marijuana and cocaine use disorders were both associated with positive BAC levels, but only cocaine use disorders were associated with BAC levels over the legal limit. Results suggest significant poly-substance use disorders in a sample of nighttime drivers, with variations by demographic characteristics. The individual and public health consequences of multiple substance use disorders among drivers are significant.
KW - Alcohol
KW - cocaine
KW - marijuana
KW - painkillers
KW - substance use disorder
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U2 - 10.1080/02791072.2017.1366605
DO - 10.1080/02791072.2017.1366605
M3 - Article
C2 - 28846058
AN - SCOPUS:85028572725
SN - 0279-1072
VL - 50
SP - 143
EP - 150
JO - Journal of Psychoactive Drugs
JF - Journal of Psychoactive Drugs
IS - 2
ER -