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      Trends in Cannabis Involvement and Risk of Alcohol Involvement in Motor Vehicle Crash Fatalities in the United States, 2000‒2018

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          Abstract

          Objectives. To assess cannabis and alcohol involvement among motor vehicle crash (MVC) fatalities in the United States.

          Methods. In this repeated cross-sectional analysis, we used data from the Fatality Analysis Reporting System from 2000 to 2018. Fatalities were cannabis-involved if an involved driver tested positive for a cannabinoid and alcohol-involved based on the highest blood alcohol concentration (BAC) of an involved driver. Multinomial mixed-effects logistic regression models assessed cannabis as a risk factor for alcohol by BAC level.

          Results. While trends in fatalities involving alcohol have remained stable, the percentage of fatalities involving cannabis and cannabis and alcohol increased from 9.0% in 2000 to 21.5% in 2018, and 4.8% in 2000 to 10.3% in 2018, respectively. In adjusted analyses, fatalities involving cannabis had 1.56 (95% confidence interval [CI] = 1.48, 1.65), 1.62 (95% CI = 1.52, 1.72), and 1.46 (95% CI = 1.42, 1.50) times the odds of involving BACs of 0.01% to 0.049%, 0.05% to 0.079%, and 0.08% or higher, respectively.

          Conclusions. The percentage of fatalities involving cannabis and coinvolving cannabis and alcohol doubled from 2000 to 2018, and cannabis was associated with alcohol coinvolvement. Further research is warranted to understand cannabis- and alcohol-involved MVC fatalities. (Am J Public Health. Published online ahead of print October 28, 2021:e1–e10. https://doi.org/10.2105/AJPH.2021.306466 )

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          Acute cannabis consumption and motor vehicle collision risk: systematic review of observational studies and meta-analysis

          Mark Asbridge, Jill Hayden, Jennifer L Cartwright (2012)
          Objective To determine whether the acute consumption of cannabis (cannabinoids) by drivers increases the risk of a motor vehicle collision. Design Systematic review of observational studies, with meta-analysis. Data sources We did electronic searches in 19 databases, unrestricted by year or language of publication. We also did manual searches of reference lists, conducted a search for unpublished studies, and reviewed the personal libraries of the research team. Review methods We included observational epidemiology studies of motor vehicle collisions with an appropriate control group, and selected studies that measured recent cannabis use in drivers by toxicological analysis of whole blood or self report. We excluded experimental or simulator studies. Two independent reviewers assessed risk of bias in each selected study, with consensus, using the Newcastle-Ottawa scale. Risk estimates were combined using random effects models. Results We selected nine studies in the review and meta-analysis. Driving under the influence of cannabis was associated with a significantly increased risk of motor vehicle collisions compared with unimpaired driving (odds ratio 1.92 (95% confidence interval 1.35 to 2.73); P=0.0003); we noted heterogeneity among the individual study effects (I2=81). Collision risk estimates were higher in case-control studies (2.79 (1.23 to 6.33); P=0.01) and studies of fatal collisions (2.10 (1.31 to 3.36); P=0.002) than in culpability studies (1.65 (1.11 to 2.46); P=0.07) and studies of non-fatal collisions (1.74 (0.88 to 3.46); P=0.11). Conclusions Acute cannabis consumption is associated with an increased risk of a motor vehicle crash, especially for fatal collisions. This information could be used as the basis for campaigns against drug impaired driving, developing regional or national policies to control acute drug use while driving, and raising public awareness.
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            Cannabis effects on driving skills.

            Rebecca L Hartman, Marilyn A. Huestis (2013)
            Cannabis is the most prevalent illicit drug identified in impaired drivers. The effects of cannabis on driving continue to be debated, making prosecution and legislation difficult. Historically, delays in sample collection, evaluating the inactive Δ(9)-tetrahydrocannabinol (THC) metabolite 11-nor-9-carboxy-THC, and polydrug use have complicated epidemiologic evaluations of driver impairment after cannabis use.
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              Adverse health effects of non-medical cannabis use.

              Wayne Hall, Louisa Degenhardt (2009)
              For over two decades, cannabis, commonly known as marijuana, has been the most widely used illicit drug by young people in high-income countries, and has recently become popular on a global scale. Epidemiological research during the past 10 years suggests that regular use of cannabis during adolescence and into adulthood can have adverse effects. Epidemiological, clinical, and laboratory studies have established an association between cannabis use and adverse outcomes. We focus on adverse health effects of greatest potential public health interest-that is, those that are most likely to occur and to affect a large number of cannabis users. The most probable adverse effects include a dependence syndrome, increased risk of motor vehicle crashes, impaired respiratory function, cardiovascular disease, and adverse effects of regular use on adolescent psychosocial development and mental health.
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                Author and article information

                Journal
                Title: American Journal of Public Health
                Abbreviated Title: Am J Public Health
                Publisher: American Public Health Association
                ISSN (Print): 0090-0036
                ISSN (Electronic): 1541-0048
                Publication date (Electronic): October 28 2021
                Pages: e1-e10
                Affiliations
                [1 ]Marlene C. Lira is with the Clinical Addiction Research and Education Unit, Department of Medicine, Boston Medical Center, Boston, MA. Timothy C. Heeren is with the Department of Biostatistics, Boston University School of Public Health, Boston. Magdalena Buczek is with the Boston University School of Medicine, Boston. Jason G. Blanchette is with the Department of Health Law, Policy, and Management, Boston University School of Public Health. Rosanna Smart is with RAND Corporation, Santa Monica, CA....
                Article
                DOI: 10.2105/AJPH.2021.306466
                PubMed ID: 34709858
                SO-VID: 57f8378f-f889-4697-92d0-88ee284f6154
                Copyright © © 2021
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