By Ainsley L. Mitchum, Sam Stevens, and Bayliss J. Camp

The present study builds upon prior work by Marowitz (1996) by examining the crash and recidivism risk of alcohol-focused versus drug-involved driving under the influence (DUI) offenders. Although drug-involved DUI offenders remain a relatively small proportion of all DUI offenders, this proportion is rising, as is the proportion of impaired-driving fatal crashes involving drugs. Using a cohort of offenders arrested during calendar years 2014 through 2017, comparisons were drawn for the one-year periods pre- and post-arrest. Drug-involved offenders tended to have more problematic driving histories in the year prior to their index offense, as compared to alcohol-focused offenders. Even taking account of these differences in pre-arrest behavior, drug-involved offenders continued to have more problematic driving in the year subsequent to their index offense: they were twice as likely to be involved in a crash, and approximately 30% more likely to recidivate. A particularly powerful predictor of recidivism was whether or not a pre-conviction administrative per se (APS) license suspension – only available in instances where an offender is above the per se blood alcohol concentration (BAC) limit, or refuses a chemical test – was imposed. Offenders convicted of a DUI offense, but against whom no APS license action was initiated, were more than three times as likely to recidivate compared to offenders against whom an APS action was taken.

Sacramento: California Office of Traffic Safety; 2025. 78p.

By Peter Leasure and Robert Kaminski

The current study used a time series design with Ohio State Highway Patrol and Ohio Department of Public Safety data to explore whether sales of recreational marijuana increased incidents of operating a vehicle while impaired (OVI) in Franklin County, Ohio and vehicle crashes in Columbus, Ohio. Two different statistical models were used to ensure the robustness of the results (a generalized linear model and Linden's itsa). In other words, we would want to see the same results from both models for moderate support of a particular finding. The results were mixed regarding the impact of recreational marijuana sales on total OVIs in Franklin County, Ohio. The generalized linear model showed a statistically significant increase in OVIs after recreational sales began, but the itsa model failed to replicate that finding. The results were also mixed regarding the impact of recreational marijuana sales on marijuana OVIs in Franklin County, Ohio. The generalized linear model showed a statistically significant increase in marijuana OVIs after recreational sales began, but the itsa model failed to replicate that finding. However, both models failed to find that recreational sales increased vehicle crashes in Columbus, Ohio, meaning that there is modest evidence that recreational sales did not increase vehicle crashes in Columbus, Ohio. A sensitivity analysis that used a balanced time series (91 days before the intervention and 91 days after) was also utilized, and those results largely confirmed the above findings.

Ohio State Legal Studies Research Paper No. 915

Columbus, OH Ohio State University (OSU) - Michael E. Moritz College of Law