Christopher P Salas-Wright1, Manuel Cano2, Audrey Hang Hai3, Sehun Oh4, Michael G Vaughn5. 1. School of Social Work, Boston College, Chestnut Hill, Massachusetts. Electronic address: christopher.salas-wright@bc.edu. 2. Department of Social Work, The University of Texas at San Antonio, San Antonio, Texas. 3. School of Social Work, Boston University, Boston, Massachusetts. 4. College of Social Work, The Ohio State University, Columbus, Ohio. 5. Graduate School of Social Welfare, College of Social Sciences, Yonsei University, Seoul, Republic of Korea; School of Social Work, College for Public Health and Social Justice, Saint Louis University, St. Louis, Missouri.
Abstract
INTRODUCTION: As cannabis use rises among adults in the U.S., driving under the influence of cannabis represents a public health concern. METHODS: In 2020, public-use data from the National Survey on Drug Use and Health were examined, using an analytic sample of 128,205 adults interviewed between 2016 and 2018. The annual prevalence of driving under the influence of cannabis was computed overall, by state, by demographic group, and among cannabis users. Demographic, psychosocial, and behavioral correlates of driving under the influence were tested by multivariate logistic regression. RESULTS: The self-reported annual prevalence of driving under the influence of cannabis was 4.5% (95% CI=4.3, 4.6) among U.S. adults, ranging from 3.0% (Texas) to 8.4% (Oregon) in individual U.S. states. Among cannabis users, 29.5% (95% CI=28.6, 30.3) reported driving under the influence of cannabis; the predicted probabilities of driving under the influence of cannabis were highest for those with more frequent use, with daily cannabis users evidencing a 57% predicted probability. Among individuals with symptoms suggestive of a cannabis use disorder, the prevalence of driving under the influence of cannabis was 63.8% (95% CI=60.8, 66.6). Among cannabis users, those reporting driving under the influence of cannabis had higher odds of driving under the influence of other illicit substances, using other illicit drugs, taking part in illegal behavior, and suffering from mental distress, after adjusting for demographic characteristics and psychosocial/behavioral correlates. CONCLUSIONS: Findings suggest that prevention efforts should focus on frequent and problem cannabis users and should include content related to other illicit drug use and other drug-impaired driving.
INTRODUCTION: As cannabis use rises among adults in the U.S., driving under the influence of cannabis represents a public health concern. METHODS: In 2020, public-use data from the National Survey on Drug Use and Health were examined, using an analytic sample of 128,205 adults interviewed between 2016 and 2018. The annual prevalence of driving under the influence of cannabis was computed overall, by state, by demographic group, and among cannabis users. Demographic, psychosocial, and behavioral correlates of driving under the influence were tested by multivariate logistic regression. RESULTS: The self-reported annual prevalence of driving under the influence of cannabis was 4.5% (95% CI=4.3, 4.6) among U.S. adults, ranging from 3.0% (Texas) to 8.4% (Oregon) in individual U.S. states. Among cannabis users, 29.5% (95% CI=28.6, 30.3) reported driving under the influence of cannabis; the predicted probabilities of driving under the influence of cannabis were highest for those with more frequent use, with daily cannabis users evidencing a 57% predicted probability. Among individuals with symptoms suggestive of a cannabis use disorder, the prevalence of driving under the influence of cannabis was 63.8% (95% CI=60.8, 66.6). Among cannabis users, those reporting driving under the influence of cannabis had higher odds of driving under the influence of other illicit substances, using other illicit drugs, taking part in illegal behavior, and suffering from mental distress, after adjusting for demographic characteristics and psychosocial/behavioral correlates. CONCLUSIONS: Findings suggest that prevention efforts should focus on frequent and problem cannabis users and should include content related to other illicit drug use and other drug-impaired driving.
Authors: Carla J Berg; Carmen N Daniel; Milkie Vu; Jingjing Li; Kathleen Martin; Lana Le Journal: Subst Use Misuse Date: 2017-08-04 Impact factor: 2.164
Authors: Sehun Oh; Michael G Vaughn; Christopher P Salas-Wright; Millan A AbiNader; Mariana Sanchez Journal: Addict Behav Date: 2020-04-10 Impact factor: 3.913
Authors: Erin E Bonar; James A Cranford; Brooke J Arterberry; Maureen A Walton; Kipling M Bohnert; Mark A Ilgen Journal: Drug Alcohol Depend Date: 2019-01-09 Impact factor: 4.492
Authors: Christopher P Salas-Wright; James C Hodges; Audrey Hang Hai; Abdulaziz Alsolami; Michael G Vaughn Journal: Drug Alcohol Depend Date: 2021-10-28 Impact factor: 4.492
Authors: Christopher P Salas-Wright; Manuel Cano; James Hodges; Sehun Oh; Audrey Hang Hai; Michael G Vaughn Journal: Drug Alcohol Depend Date: 2021-09-23 Impact factor: 4.492