Effects of High-Potency Cannabis on Psychomotor Performance in Frequent Cannabis Users

Abstract

Background: Recently increased access to cannabis products in the United States has been associated with increased rates of driving after cannabis use. Although numerous studies indicate that cannabis impairs psychomotor and neurocognitive functions that can affect driving ability, the determination of cannabis-impaired driving risk is complicated by the extent to which frequent cannabis users develop tolerance to THC's subjective, cognitive, and psychomotor effects, and by the fact that there is no validated behavioral or biological marker of recent cannabis use or cannabis-related impairment. This study examined the psychomotor impairment-related effects experienced by frequent cannabis users in Colorado after naturalistic consumption of smoked cannabis, both immediately and 1 h postuse. Results were then validated in a smaller replication sample from Washington state. Methods: In the primary Colorado study, participants (n = 70) used the DRUID Ò mobile app, a brief measure of psychomotor and cognitive domains that are sensitive to the effects of cannabis. First, participants used DRUID to establish a sober baseline impairment score. During a second appointment, they used DRUID at three time points: preuse, immediately after acutely using cannabis, and 1 h postuse. In the Washington replication sample, participants (n = 39) used DRUID before acute cannabis consumption and then every half hour for 2.5 h. Results: In both studies, peak DRUID impairment effects were seen immediately after cannabis use, with recovery of performance at 1 h postuse. Specifically, significant quadratic effects of time emerged for both studies (Colorado study: (b = À0.935, SE = 0.204, p < 0.001); Washington study: b = 3.0299, SE = 1.3085, p < 0.01). Domain-specific effects were tested in the larger Colorado study and were observed for reaction time within a complex divided attention task and a postural-stability balance task. Conclusions: These findings demonstrate that psychomotor impairment emerges immediately after acute cannabis use even in regular users, but decreases significantly 1 h postuse. These results underscore the potential utility of the DRUID app for assessing acute cannabis-related psychomotor impairment. Further research is needed to explore whether the DRUID app and/or the specific psychomotor functions it assesses might serve as a tool for measuring cannabis-related driving impairment. Clinical trials registration number for the Colorado Study: NCT03522103.

Assessment of cognitive and psychomotor impairment, subjective effects, and blood THC concentrations following acute administration of oral and vaporized cannabis

“…age, genetics, body fat percentage, and user experience level with cannabis) may impact the pharmacodynamics of cannabis. Fourth, while the DRUID ® showed promise in this initial study as well as in another recent study (Karoly et al, 2020) in terms of its sensitivity to cannabis effects, more research is needed on this novel instrument. Lastly, though the sample size (N = 20) in this study was sufficient to achieve the study aims, replication in larger and more diverse samples is encouraged.…”

Demographic and policy-based differences in behaviors and attitudes towards driving after marijuana use: an analysis of the 2013–2017 Traffic Safety Culture Index

“…However, we acknowledge that not all studies support this position [10,[32][33][34]. Experimental and driving simulator studies have shown that marijuana affects motor skills and executive function [35][36][37][38][39], but this need not correspond to increased crash risk. For instance, Lacey et al found no evidence of an association between THC presence in drivers and the odds of fatal crash involvement [40].…”

Protocol for a mobile laboratory study of co-administration of cannabis concentrates with a standard alcohol dose in humans

“…The Druid ® mobile application is administered via tablet to assess cognitive and psychomotor motor impairment due to any cause or combination of causes including cannabis [ 21 , 38 ], alcohol [ 39 ], illicit drugs, prescription medications, chronic medical conditions, illness, and fatigue. The app has users perform four tasks, presented in quick succession, that measure cognitive-motor performance by assessing balance, decision-making accuracy, reaction time, hand-eye coordination, and time estimation under conditions of divided attention.…”