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Correlates of Marijuana Drugged Driving and Openness to Driving While High: Evidence from Colorado and Washington.

ABSTRACT: A potential unintended consequence of legalizing recreational marijuana is increased marijuana-related driving impairment. Some states where recreational marijuana is legal have begun implementing interventions to mitigate driving under the influence (DUI) of marijuana, including media campaigns to increase knowledge about DUI laws. However, little is known about the associations between knowledge of DUI laws and marijuana DUI behavior. In this study, we provide new data from a survey of marijuana users in Colorado and Washington to examine associations between marijuana drugged driving and two potential behavioral precursors of marijuana DUI. We also explore other factors that may influence marijuana DUI.Data are from an online survey of marijuana users in Colorado and Washington. Respondents who reported any marijuana use in the past 30 days (n = 865) served as the analytic sample. We examined prevalence of two behavioral outcomes: (1) any driving of a motor vehicle while high in the past year and (2) driving a motor vehicle within 1 hour of using marijuana 5 or more times in the past month. Additional outcomes measuring willingness to drive while high were also assessed. Logistic regressions were used to estimate each outcome as a function of two multi-item scales measuring knowledge of the legal consequences of driving high and perceptions that driving while high is not safe. Additional covariates for potential confounders were included in each model.Prevalence of past-year driving while under the influence of marijuana was 43.6% among respondents. The prevalence of driving within 1 hour of using marijuana at least 5 times in the past month was 23.9%. Increased perception that driving high is unsafe was associated with lower odds of past-year marijuana DUI (OR = 0.31, P < 0.01) and lower past-month odds of driving 5 or more times within 1 hour of using marijuana (OR = 0.26, P < 0.01). Increased knowledge of marijuana DUI laws was also associated with lower odds of each of these outcomes (OR = 0.63, P < 0.01, OR = 0.69, P = 0.02, respectively). Post-estimation Wald tests confirmed the negative associations with marijuana DUI were greater in magnitude for safety perceptions than knowledge of DUI laws. Increased perceptions that driving while high is unsafe was associated with significantly lower willingness to drive after using marijuana while increased knowledge of marijuana DUI laws was not associated with these outcomes.Despite recent interventions targeting public awareness of the legal consequences of marijuana DUI, our results suggest that knowledge of these laws is a weaker predictor of DUI behavior than perceptions that driving high is unsafe. In addition, safety perceptions predict decreased openness to driving high while knowledge of DUI laws was not associated with openness. These findings suggest that interventions for reducing the incidence of marijuana DUI are likely to be more successful by targeting safety perceptions related to marijuana DUI rather than knowledge of DUI laws. We caution that because these data are limited to an online convenience sample, results may not be generalizable beyond our sample.

SUBMITTER: Davis KC

PROVIDER: S-EPMC4723241 | biostudies-other | 2016

REPOSITORIES: biostudies-other

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Project description:CONTEXT:Six US states have implemented retail sales of recreational marijuana. Training in responsible sales practices has been effective in the alcohol market. An online responsible marijuana vendor (RMV) training was produced and implemented with stores in a randomized trial. PROGRAM:An online RMV training was developed through meetings with state regulators and local law enforcement personnel, curriculum standards published by the Colorado Marijuana Enforcement Division in May 2015, interviews with recreational marijuana store personnel (n = 15), and usability testing of a prototype training with store personnel (n = 19) in Colorado and Washington State. The training contained 5 modules: state laws and regulations, ID checking, health effects of marijuana, customer service practices including recognizing intoxicated patrons, and rules of the trade. IMPLEMENTATION:A randomized controlled trial testing the training enrolled a random sample of state-licensed retail recreational marijuana stores (n = 225) in Colorado, Oregon, and Washington State. In total, 125 stores were randomly assigned to receive the RMV training. A total of 420 store employees completed the online training between June 2017 and February 2018 (43.5% female, 88.4% younger than 40 years, and 74.1% non-Hispanic white). EVALUATION:Responses to posttraining surveys showed that most trainees found the training user-friendly (78.4%), were satisfied (68.8%), and would recommend it to another employee (91.1%). The training improved trainees' ability to check IDs (pretraining mean = 3.91 [SD = 1.36], posttraining mean = 4.58 [SD = 0.66], t387,388 = 8.68, P < .001) and their confidence to use the state's inventory tracking system (pretraining mean = 2.52 [SD = 0.65], posttraining mean = 2.85 [SD = 0.39], t387, 388 = 10.89, P < .001) and spot intoxicated customers (pretraining mean = 2.79 [SD = 0.41], posttraining mean = 2.94 [SD = 0.25], t387,388 = 6.87, P < .001). DISCUSSION:Online RMV training was acceptable to retail recreational marijuana personnel and potentially improved responsible sales practices. Responsible vendor training has been successful under certain conditions in the alcohol market and should be considered for the recreational marijuana market.

Project description:BackgroundOver the past two decades, state and local governments across the U.S. have been increasingly reforming marijuana laws. Despite growing support for marijuana as a medical treatment, little is known about medical students' perceptions of marijuana use.ObjectiveTo assess Colorado medical students' personal and professional opinions on current and future marijuana use in a healthcare setting.DesignA voluntary, anonymous, online cross-sectional survey.ParticipantsMedical students (n = 624) at the University of Colorado School of Medicine between January and February 2014 were invited to participate.Main measuresNumerical responses were quantified using counts and percentages, and Likert scale responses were collapsed for bivariate analysis. Items were gathered thematically and additively scored for each subscale. Internal consistency reliability statistics were calculated for each subscale to ensure that items were assessing similar constructs. Unadjusted t tests and one-way analysis of variance (ANOVA) were used to calculate mean differences in subscale scores between subgroups.Key resultsWe received 236 responses (37%). Students indicated support for marijuana legalization (64%), and few believed that physicians should be penalized for recommending marijuana to patients (6%). Nearly all (97%) believed that further marijuana research should be conducted, and believed marijuana could play a role in the treatment of various medical conditions. Seventy-seven percent reported that they believed marijuana use had the potential for psychological harm, and 68% indicated concern for potential physical harm. Only a minority of students would recommend marijuana to a patient under current law (29%), or if it were legally available (45%). Acceptability of marijuana for treatment of approved conditions was not correlated with age or gender, but was positively correlated with living in Colorado prior to medical school (p < 0.001) and with prior marijuana use (p < 0.001).ConclusionsMedical students support marijuana legal reform, medicinal uses of marijuana, and increased research, but have concerns regarding risks of marijuana use, and appear hesitant to recommend marijuana to patients.

Project description:AimsMedical marijuana law (MML) enactment in the United States has been associated with increased cannabis use but lower traffic fatality rates. We assessed the possible association of MML and individual-level driving under the influence of cannabis (DUIC) and also under the influence of alcohol (DUIA).Design and settingThree cross-sectional U.S. adult surveys: The National Longitudinal Alcohol Epidemiologic Survey (NLAES; 1991-1992), the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; 2001-2002), and the NESARC-III (2012-2013).ParticipantsThe total n was 118 497: 41 764, 41 184, and 35 549 from NLAES, NESARC, and NESARC-III, respectively.MeasurementsAcross the three surveys, similar questions in the Alcohol Use Disorder and Associated Disabilities Interview Schedule assessed DUIC and DUIA. Ever-MML states enacted MML between 1991-1992 and 2012-2013 (overall period). Early-MML states enacted MML between 1991-1992 and 2001-2002 (early period). Late-MML states enacted MML between 2001-2002 and 2012-2013 (late period). MML effects on change in DUIC and DUIA prevalence were estimated using a difference-in-differences specification to compare changes in MML and other states.FindingsFrom 1991-1992 to 2012-2013, DUIC prevalence nearly doubled (from 1.02% to 1.92%), increasing more in states that enacted MML than other states (difference-in-differences [DiD] = 0.59%; 95% CI = 0.06%-1.12%). Most change in DUIC prevalence occurred between 2001-2002 and 2012-2013. DUIC prevalence increased more in states that enacted MML 2001-2002 to 2012-2013 than in never-MML states (DiD = 0.77%; 95% CI = -0.05%-1.59%), and in two early-MML states, California (DiD = 0.82; 95% CI = 0.06-1.59) and Colorado (DiD = 1.32; 95% CI = 0.11-2.53). In contrast, DUIA prevalence appeared unrelated to MML enactment.ConclusionsMedical marijuana law enactment in US states appears to have been associated with increased prevalence of driving under the influence of cannabis, but not alcohol.

Project description:To investigate effects of smoking cannabidiol (CBD)-rich marijuana on driving ability and determine free CBD and Δ9-tetrahydrocannabinol (THC) concentrations in capillary blood samples, a randomised, double-blind, placebo-controlled, two-way crossover pilot study was conducted with 33 participants. Participants smoked a joint containing 500 mg of tobacco and either 500 mg of CBD-rich marijuana (16.6% total CBD; 0.9% total THC) or 500 mg of a placebo substance, then performed three different dimensions of the Vienna Test System TRAFFIC examining reaction time, behaviour under stress, and concentration performance. For further assessment of participants' fitness to drive, three tests of balance and coordination were evaluated and vital signs (blood pressure and pulse) were measured. Dried blood spot samples of capillary blood were taken after smoking and after completion of the tests to determine the cannabinoid concentrations (CBD, THC and THC-metabolites). The results revealed no significant differences between the effects of smoking CBD-rich marijuana and placebo on reaction time, motor time, behaviour under stress, or concentration performance. Maximum free CBD and THC concentrations in capillary blood were detected shortly after smoking, ranging between 2.6-440.0 ng/mL and 6.7-102.0 ng/mL, respectively. After 45 min, capillary blood concentrations had already declined and were in the range of 1.9-135.0 ng/mL (free CBD) and 0.9-38.0 ng/mL (free THC). Although the observed levels of free THC concentrations have been reported to cause symptoms of impairment in previous studies in which THC-rich marijuana was smoked, no signs of impairment were found in the current study. This finding suggests that higher CBD concentrations cause a negative allosteric effect in the endocannabinoid system, preventing the formation of such symptoms. Nevertheless, it is recommended that consumers refrain from driving for several hours after smoking CBD-rich marijuana, as legal THC concentration limits may be exceeded. Supplemental data for this article is available online at https://doi.org/10.1080/20961790.2021.1946924 .

Project description:ImportanceAn important consequence of cannabis legalization is the potential increase in the number of cannabis-impaired drivers on roads, which may result in higher rates of traffic-related injuries and fatalities. To date, limited information about the effects of recreational cannabis laws (RCLs) on traffic fatalities is available.ObjectiveTo estimate the extent to which the implementation of RCLs is associated with traffic fatalities in Colorado and Washington State.Design, setting, and participantsThis ecological study used a synthetic control approach to examine the association between RCLs and changes in traffic fatalities in Colorado and Washington State in the post-RCL period (2014-2017). Traffic fatalities data were obtained from the Fatality Analysis Reporting System from January 1, 2005, to December 31, 2017. Data from Colorado and Washington State were compared with synthetic controls. Data were analyzed from January 1, 2005, to December 31, 2017.Main outcome(s) and measuresThe primary outcome was the rate of traffic fatalities. Sensitivity analyses were performed (1) excluding neighboring states, (2) excluding states without medical cannabis laws (MCLs), and (3) using the enactment date of RCLs to define pre-RCL and post-RCL periods instead of the effective date.ResultsImplementation of RCLs was associated with increases in traffic fatalities in Colorado but not in Washington State. The difference between Colorado and its synthetic control in the post-RCL period was 1.46 deaths per 1 billion vehicle miles traveled (VMT) per year (an estimated equivalent of 75 excess fatalities per year; probability = 0.047). The difference between Washington State and its synthetic control was 0.08 deaths per 1 billion VMT per year (probability = 0.674). Results were robust in most sensitivity analyses. The difference between Colorado and synthetic Colorado was 1.84 fatalities per 1 billion VMT per year (94 excess deaths per year; probability = 0.055) after excluding neighboring states and 2.16 fatalities per 1 billion VMT per year (111 excess deaths per year; probability = 0.063) after excluding states without MCLs. The effect was smaller when using the enactment date (24 excess deaths per year; probability = 0.116).Conclusions and relevanceThis study found evidence of an increase in traffic fatalities after the implementation of RCLs in Colorado but not in Washington State. Differences in how RCLs were implemented (eg, density of recreational cannabis stores), out-of-state cannabis tourism, and local factors may explain the different results. These findings highlight the importance of RCLs as a factor that may increase traffic fatalities and call for the identification of policies and enforcement strategies that can help prevent unintended consequences of cannabis legalization.

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Correlates of Marijuana Drugged Driving and Openness to Driving While High: Evidence from Colorado and Washington.

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