Driving Under the Influence of Marijuana and Illicit Drugs Among Persons Aged ≥16 Years - United States, 2018

Special Report from the CDC: Driving under the influence of alcohol, marijuana, or other illicit drugs among drivers aged ≥16 years - National Survey on Drug Use and Health, 2016-2019

INTRODUCTION

This study describes the prevalence of driving under the influence of alcohol (DUIA), marijuana (DUIM), or other illicit drugs (DUID) in the United States over time.

METHOD

This study analyzed data from 2016-2019 National Survey on Drug Use and Health public-use files. The study sample was limited to drivers aged ≥16 years. Prevalence in 2019 and 2016-2019 trends were assessed overall, by sociodemographic characteristics, and by seatbelt use.

RESULTS

The 2019 overall prevalence of DUIA, DUIM, and DUID during the past year was 8.3%, 5.3%, and 0.9%, respectively. DUIA, DUIM, and DUID prevalence was highest for drivers who were male (10.6%, 7.0%, and 1.2%, respectively), not heterosexual (12.3%, 14.7%, and 3.5%, respectively), and did not always wear a seatbelt (12.1%, 11.5%, and 3.1%, respectively). DUIA and DUIM were highest among drivers aged 21-25 years; DUID was highest among drivers aged 21-25 or 26-34 years. From 2016 to 2019, overall DUIA decreased slightly, DUIM increased (4.5% to 5.3%), and DUID did not change; trends differed across sociodemographic groups.

CONCLUSIONS

DUI is a pervasive public health issue. There are ≥10,000 DUIA crash deaths in the United States annually; proven interventions exist to prevent these deaths. Decision makers can save lives and make our roadways safer by implementing proven strategies to reduce DUIA, including lowering the legal blood alcohol concentration (BAC) for driving. Improved data and more research are needed to understand DUIM and DUID burden and determine effective prevention strategies, especially in the context of increasing DUIM.

PRACTICAL APPLICATIONS

There were groups for which changes in behavior patterns were found, which could guide prevention efforts. For drivers who did not always wear a seatbelt, DUIA decreased while DUIM increased. A similar pattern was noted for drivers aged 26-34 years; additionally, DUID increased in this group.

Rural and urban differences in marijuana use following passages of medical marijuana laws

INTRODUCTION

Understanding differences in post-legalization patterns of marijuana between rural and urban environments has the potential to go a long way towards targeting intervention efforts aimed at reducing marijuana use disorders.

METHODS

Data come from the National Survey on Drug Use and Health (NSDUH, 2015-2019, N = 210,392). Survey-weighted multivariable linear and logistic regression analyses were used to assess the relationship between key marijuana-related variables and the status of medical marijuana use in each state with interaction terms for rural versus urban status.

RESULTS

Among the entire sample, the prevalence of marijuana abuse and dependence were 0.7% and 1.8%, respectively. Among marijuana users, the average number of days on which marijuana was used was 131.3 (SD = 136.3) days. Those living in states with legalized medical marijuana reported use on a greater number of days (B = 10.69; 95% CI: 5.26, 16.13) with frequency of use increasing as rurality increased, compared to a core based statistical area (CBSA) of ≥1 million: a CBSA of <1 million residents (B = 23.02; 95% CI: 17.38, 28.66) and non-CBSA (B = 37.62; 95% CI: 22.66, 52.58). We also observed lower odds of driving under the influence of marijuana in states where medical marijuana was legal (aOR = 0.86; 95% CI: 0.77, 0.95).

CONCLUSION

We observed an increase in the frequency of marijuana use and a decrease in driving under the influence of marijuana in states with legalized medical marijuana use relative to those states where it remained illegal. We also observed key moderation based on rural-urban status. This body of results suggests that problematic marijuana use may be on the rise following the legalization of marijuana use, but also that corresponding protective attitudes exist.

Use of Cannabis for Medical or Recreational Purposes Among US Young Adults: Correlates and Implications for Problematic Use and Interest in Quitting

Objective

Recreational and medical cannabis use has increased, particularly among young adults, but little is known regarding who uses for these purposes or how purpose of use is associated with problematic use.

Methods

We analyzed Fall 2019 survey data among 1,083 US young adults (ages 18-34) reporting past 6-month cannabis use. Multivariable regression analyses examined: 1) characteristics of those using for only/primarily medical purposes, primarily recreationally, and only recreationally vs. equally for medical and recreational purposes (referent; multinomial logistic); and 2) reasons for use in relation to cannabis use disorder symptoms (linear) and driving under the influence of cannabis (DUIC; binary logistic).

Results

37.1% used only recreationally, 23.5% primarily recreationally, 21.5% equally for both, and 17.8% medically. Compared to those using equally for medical and recreational purposes, those using only/primarily medically had fewer friends who used cannabis; those using primarily recreationally were younger, more educated, less likely used tobacco, and reported fewer ACEs. Those using only recreationally were younger, more likely male, less likely to report an ADHD diagnosis or past-month alcohol or tobacco use, and reported fewer friends who used cannabis, ACEs, and depressive symptoms. Using equally for medical and recreational purposes (vs. all other cannabis use subgroups) correlated with greater use disorder symptoms and DUIC.

Conclusions

Using cannabis equally for medical and recreational purposes may pose particularly high-risk, given the association with greater mental health concerns and problematic use. Understanding use profiles and how young adults interpret and distinguish medical and recreational use is critical.

Driving after substance use in Rhode Island adolescents: A cross-sectional analysis of surveillance data

OBJECTIVE

Existing literature on driving under the influence during adolescence is sparse, especially for driving after the use of non-medical prescription drugs (DAP). This study examines the prevalence of driving after use of alcohol (DAA), cannabis (DAC), and DAP, and examines the role of several potential risk and protective factors.

METHODS

This was a secondary analysis of the 2022 Rhode Island Study Survey, a cross-sectional survey of middle and high school students. Separate multivariable regressions were conducted for each outcome among lifetime users for each substance, controlling for current substance use, individual-, perceived parental-, and perceived friend-substance use risk perception, age, sexual/gender minority (SGM) status, race, ethnicity, school level, and town poverty level.

RESULTS

Among lifetime users of alcohol (n = 3849), cannabis (n = 2289), and non-medical prescription drugs (n = 611), the prevalence of DAA, DAC, and DAP was 4.9, 14.3, and 16.9%, respectively. Current substance use, high individual risk perception, being nonwhite, and being Hispanic were risk factors for DAA while perceiving parent's risk perception as negative and being heterosexual cisgender-female were protective. Current substance use, negative individual risk perception, and being nonwhite were risk factors for DAC while perceiving parent's risk perception as negative and being in high school were protective. Current substance use and older age were risk factors for DAP while perceiving parent's risk perception as negative and perceiving friend's risk perception as negative were protective.

CONCLUSIONS

Driving under the influence is a concern among adolescent substance users. Current substance use and perceived parental risk perception as negative are common risks and protective factors, respectively. Findings suggest substance-specific, heterogeneous interventions are needed. For example, interventions focusing on peer perceptions are most relevant for DAP, while shifting personal perceptions of harm are most relevant for DAC.

Risk factors associated with driving after marijuana use among West Virginia college students during the COVID-19 pandemic

OBJECTIVES

The purpose of this study was to assess sociodemographic and behavioral risk factors associated with driving after marijuana use (DAMU) among West Virginia college students.

METHODS

Participants were recruited from West Virginia University between September and November 2022. The study sample was restricted to students who were ≥18 years of age; reported recently driving; possessed a current, valid driver's license from any US state; and were enrolled for at least one credit hour in the Fall 2022 semester.

RESULTS

Among respondents (N = 772), 28.9% reported DAMU. Students who had a GPA of B (adjusted odds ratio [AOR]: 2.17, 95% confidence interval [CI]: 1.06-4.42), smoked or ingested marijuana in the past year (AOR: 26.51, 95% CI: 10.27-68.39), drove after drinking (AOR: 2.38, 95% CI: 1.18-4.79), and used both marijuana and alcohol concurrently and then drove (AOR: 10.39, 95% CI: 2.32-46.54) associated with DAMU. Individuals who felt the behavior was somewhat dangerous or not dangerous or thought their peers approved of DAMU showed significant associations with DAMU.

CONCLUSIONS

As DAMU was prevalent, future interventions that raise awareness of the danger and potential consequences of DAMU may be needed to reduce this risky behavior on college campuses.

Driving impairment due to psychoactive substances and attention deficit disorder: A pilot study

Objective

Attention disorder and substance use disorder are linked to driving impairment and increased road crash involvement. This study explores attention deficits in a population of drivers found driving under the influence (DUI) of psychoactive substances.

Methods

A case-control study was conducted comparing subjects with a previous DUI episode (cases) to subjects who were negative for DUI offenses (controls). Personal, socio-demographic, and DUI data were collected for both groups. All subjects were administered the Continuous Performance Test-third edition (CPT-3), which measures dimensions of attention, including inattentiveness, impulsivity, sustained attention, and vigilance. Possible associations with a previous DUI episode, the use of illicit substances or excessive alcohol use, and road crash involvement were analyzed statistically.

Results

Overall, the study included 147 subjects (100 cases, 47 controls). The parameter distributions of detectability, probability of ADHD, and inattentiveness indicated statistical differences between the two groups. No attention deficits predicted substance use disorder or excessive alcohol consumption. Inattentiveness was an independent risk factor for previous road collision involvement.

Conclusions

The results suggest that alterations exist in some attention dimensions in a population of DUI subjects who were users of alcohol or other psychoactive substances and involved in road traffic crashes. The CPT-3 had successfully distinguished between the two study groups, and after validation, it could be useful in the process of reinstating a driver's license. Future research should expand the study sample to better understand the relevance of the proposed methodological approach in terms of prevention, rehabilitation, and the monitoring of subjects evaluated for driving eligibility requirements.

Perceptions and Attitudes Related to Driving after Cannabis Use in Canadian and US Adults

BACKGROUND

This study examined the risk perceptions related to driving after cannabis use (DACU) among Canadian and US adults who used cannabis in the past six months.

METHODS

Perceptions of danger, normative beliefs, perceived likelihood of negative consequences, and other driving-related variables were collected via online surveys in Canadian (n = 158; 50.0% female, 84.8% White, mean age = 32.73 years [SD = 10.61]) and US participants (n = 678; 50.9% female, 73.6% White, mean age = 33.85 years [SD = 10.12]). Driving cognitions and DACU quantity/frequency were compared between samples using univariate analyses of variance, and Spearman's (ρ) correlations were performed to examine associations between driving cognitions and DACU quantity/frequency.

RESULTS

The two samples did not significantly differ in self-reported level of cannabis use, lifetime quantity of DACU, or the number of times they drove within two hours of cannabis use in the past three months (Ps > .12). Compared to US participants, Canadians perceived driving within two hours of cannabis use as more dangerous (P < 0.001, ηp2 = 0.013) and reported more of their friends would disapprove of DACU (P = 0.03, ηp2 = 0.006). There were no differences in the number of friends who would refuse to ride with a driver who had used cannabis (P = 0.15) or the perceived likelihood of negative consequences (Ps > 0.07). More favorable perceptions were significantly correlated with greater lifetime DACU and driving within two hours of use (ρ = 0.25-0.53, Ps < 0.01).

CONCLUSIONS

These findings reveal differences in distal risk factors for DACU between Canada and the US and may inform prevention efforts focusing on perceptions of risk and social acceptance of DACU.

Driving under the influence of cannabis and alcohol: Evidence from a national sample of young drivers

OBJECTIVE

Driving under the influence (DUI) of psychoactive substances is an important public health and criminal justice issue, impacting the lives of millions of Americans. Although recent research provides up-to-date information regarding DUI among adults, there is a pressing need for research that focuses specifically on younger/underage drivers. We draw from a large, nationally-representative sample to provide up-to-date evidence as to the prevalence and key criminal justice, substance use, and behavioral health correlates of DUI of cannabis and alcohol among drivers ages 16 to 20 in the United States.

METHODS

We used data from the 2020 and 2021 National Survey on Drug Use and Health (young drivers ages 16-20; N=12,863). All analyses-survey adjusted prevalence estimates, logistic regression-were conducted using Stata SE 17.0 and weighted to account for the study's stratified cluster sampling design.

RESULTS

The prevalence of DUI-cannabis for the full sample-including those not endorsing past-year use-was 6.3%. Among youth endorsing past-year cannabis use, 24.5% reported DUI of cannabis. In the full sample and among cannabis users, DUI-cannabis risk was elevated among older and male youth. The prevalence of DUI-alcohol was 2.6% among all youth and 6.1% among youth reporting past-year alcohol consumption.

CONCLUSIONS

Estimates indicate that more than one million young drivers each year are placing their lives and those of others at risk by operating motor vehicles after consuming cannabis and/or alcohol. Findings underscore the importance of prevention efforts targeting underaged cannabis and alcohol-impaired driving.

Self-Regulation of Driving Behavior Under the Influence of Cannabis: The Role of Driving Complexity and Driver Vision

OBJECTIVE

This study analyzed the self-regulation behaviors of drivers under the influence of cannabis and its relationship with road complexity and some driver traits, including visual deterioration.

BACKGROUND

Cannabis is the illicit drug most often detected in drivers; its use results in significant negative effects in terms of visual function. Self-regulation behaviors involve the mechanisms used by drivers to maintain or reduce the risk resulting from different circumstances or the driving environment.

METHODS

Thirty-one young, occasional cannabis users were assessed both in a baseline session and after smoking cannabis. We evaluated the visual function (visual acuity and contrast sensitivity) and driver self-regulation variables of both longitudinal and lateral control as the speed adaptation and standard deviation of lateral position (SDLP).

RESULTS

Visual function was significantly impaired after cannabis use. Recreational cannabis use did not result in self-regulation, although some road features such as curved roads did determine self-regulation. Male participants adopted mean faster driving speeds with respect to the speed limit. Driver age also determined better lateral control with lower SDLPs. In addition, visual impairment resulting from cannabis use (contrast sensitivity) was linked with self-regulation by changes in longitudinal and lateral control.

CONCLUSION

Contrast sensitivity could be a good indicator of individual visual status to help determine how drivers self-regulate their driving both in normal conditions and while under the influence of cannabis.

APPLICATION

The findings provide new insights about driver self-regulation under cannabis effects and are useful for policy making and awareness campaigns.

The Association Between Vaping and Driving Under the Influence of Cannabis Among U.S. Young Adults

INTRODUCTION

Driving under the influence of cannabis is a significant public health concern that is particularly common in young adults (aged 18-25 years) and has increased in recent years. Vaping has also dramatically increased, particularly among young populations, and is frequently used for cannabis administration among young adults. Therefore, this study aimed to examine the positive association between vaping and cannabis driving under the influence among young adults (aged 18-25 years).

METHODS

This study used the 2020 National Survey on Drug Use and Health and included young adults aged 18-25 years. This study examined past-year cannabis driving under the influence prevalence by past-year vaping at the intersection of past-year cannabis use, after adjusting for other associated factors such as race/ethnicity, sex, employment status, past-year other tobacco use, past-year serious psychological distress, and past-year driving under the influence of alcohol. Data were analyzed in 2022.

RESULTS

Among a sample of 7,860 U.S. individuals aged 18-25 years, 23.8% vaped in the past year, and 9.7% reported past-year cannabis driving under the influence. Past-year vaping was positively associated with past-year cannabis use (adjusted prevalence ratio=2.12; 95% CI=1.91, 2.35). Among those with cannabis use in the past year, past-year vaping was positively associated with past-year cannabis driving under the influence (adjusted prevalence ratio=1.52; 95% CI=1.25, 1.84).

CONCLUSIONS

This study found positive associations between past-year vaping, cannabis use, and cannabis driving under the influence among U.S. young adults, indicating that vaping was positively associated with cannabis use. Vaping was also positively associated with cannabis driving under the influence among those who used cannabis. This preliminary evidence could inform prevention/intervention strategies related to vaping and cannabis driving under the influence.

Driving license regranting: Hair EtG, serum CDT, and the role of sociodemographic and medicolegal variables

Driving under the influence (DUI) of alcohol is a road safety problem. Driving license regranting is based on the evaluation of medicolegal and toxicological variables that may include serum carbohydrate-deficient transferrin (CDT) and hair ethyl glucuronide (hEtG). The aim of the study was to compare the diagnostic performance of CDT and hEtG in a population of DUI offenders. Other factors potentially associated with heavy alcohol use were explored. The population included DUI offenders examined during the period of January 1, 2019, through June 30, 2022. Sociodemographic, medicolegal, and toxicological variables were collected. CDT in serum and EtG in head hair were determined in all subjects. Excessive alcohol intake (hEtG ≥30 pg/mg) was considered cause for unfitness to drive. Cohen's kappa coefficient was calculated. Descriptive analyses were performed using chi-square and Mann-Whitney tests. Variables significantly different between the groups were included in a multivariate binary logistic regression model. The sample encompassed 838 subjects (case group: 179, comparison group: 689). CDT exhibited poor agreement (κ = 0.053) with hEtG as the reference test. Lower education, age at DUI, heavy smoking, and GGT levels associated with heavy alcohol consumption differentiated the two groups. For DUI offenders, the use of CDT to assess heavy alcohol consumption is limited, possibly due to the time-window assessed, the time required for normalization, and the different amount of ethanol needed to reach higher CDT levels, in comparison to hEtG; thus, hEtG assessment is strongly recommended for this population. Heavy smoking, GGT, education, and age could be related to heavy alcohol consumption and higher risk of DUI.

Driving under the influence of cannabis, alcohol, and illicit drugs among adults in the United States from 2016 to 2020

OBJECTIVE

Driving under the influence (DUI) of substances increases motor vehicle crash risk. Understanding current national trends of driving under the influence of alcohol (DUIA), cannabis (DUIC), and drugs other than cannabis (DUID) can inform public health efforts. Herein, we provide updated trends among United States (US) adults regarding DUIA, DUIC, DUID, and DUI of any substance.

METHOD

We used nationally-representative National Survey on Drug Use and Health (2016-2020) data to derive prevalence estimates of past-year DUIC, DUIA, DUID, and DUI of any substance among non-institutionalized US adults and among those reporting respective past-year  substance use. Prevalence estimates and adjusted logistic regressions characterized temporal trends of these behaviors among US adults, among those with respective past-year substance use, and among stratified demographic subpopulations.

RESULTS

Over 1 in 10 US adults reported DUI of any substance annually from 2016 to 2020.DUIA was most prevalent among all US adults (8.7% in 2017); however, this behavior is decreasing (AOR:0.96; 95%CI:0.94,0.98). No change in DUIC among the US adult population was found, but a decrease was found among those with past-year cannabis use (AOR:0.95; 95%CI:0.93,0.98), which coincided with a 29.1% increase in past-year cannabis use. There were no significant changes in overall DUID; however, females, those ages 26-34 and 65 or older with past-year use displayed increasing trends. DUI of any substance decreased among the US adult population.

CONCLUSIONS

DUI remains a salient public health concern in the US and results indicate population subgroups who may benefit from impaired driving prevention interventions.

Risk Factors Associated With Driving After Marijuana Use Among US College Students During the COVID-19 Pandemic

PURPOSE

To assess the sociodemographic and behavioral risk factors associated with driving after marijuana use among US college students.

METHODS

A secondary analysis used the fall 2020 and spring 2021 American College Health Association- National College Health Assessment III and the dataset was restricted to college students ≥18 years of age who reported recent driving and marijuana use. Associations between risk factors and driving after marijuana use were estimated using multivariable logistic regression.

RESULTS

A total of 29.9% (n = 4,947) of the respondents reported driving after marijuana use. Males (adjusted odds ratio [AOR]: 1.64, 95% confidence interval [CI]: 1.48-1.82), non-Hispanic Black (AOR: 1.32, 95% CI: 1.02-1.71), sexual minorities (AOR: 1.19, 95% CI: 1.07-1.31), individuals with an alcohol or substance use disorder (AOR: 1.44, 95% CI: 1.08-1.91), anxiety (AOR: 1.20, 95% CI: 1.06-1.36), higher suicidality (AOR: 1.18, 95% CI: 1.07-1.31), and those who also drank and drove (AOR: 3.18, 95% CI: 2.84-3.57) had a higher risk of driving after marijuana use.

DISCUSSION

Future research should focus on increasing awareness of driving after marijuana use and prevention programs and/or strategies on college campuses regarding driving after marijuana use for these groups to reduce this risky behavior.

The impact of recreational cannabis markets on motor vehicle accident, suicide, and opioid overdose fatalities

In the U.S., an increasing number of states are legalizing regulated commercial markets for recreational cannabis, which allows private industry to produce, distribute, and sell marijuana to those 21 and older. The health impacts of these markets are not fully understood. Preliminary evidence suggests recreational markets may be associated with increased use among adults, which indicates there may be downstream health impacts on outcomes related to cannabis use. Three causes of death that are linked to cannabis use are motor vehicle accidents, suicide, and opioid overdose. Drawing on data from U.S. death certificates from 2009 to 2019, we conducted a difference-in-differences analysis to estimate the impact of recreational markets on fatalities from motor vehicle accidents, suicide, and opioid overdose in seven states: Colorado, Washington, Oregon, Alaska, Nevada, California, and Massachusetts. States with comprehensive medical cannabis programs with similar pre-trends in deaths were used as comparisons. For each outcome, a pooled estimate was generated with a meta-analysis using random effects models. The results revealed substantial increases in crash fatalities in Colorado, Oregon, Alaska, and California of 16%, 22%, 20%, and 14%, respectively. Based on estimates from all seven states, recreational markets were associated with a 10% increase in motor vehicle accident deaths, on average. This study found no evidence that recreational markets impacted suicides. Most states saw a relative reduction in opioid overdose death that ranged between 3 and 28%. On average, recreational markets were associated with an 11% reduction in opioid overdose fatalities.

Prevalence of Substance Abuse Among Trauma Patients in Rural West Virginia

BACKGROUND

 Substance abuse poses considerable clinical, economic, and social challenges. West Virginia is hailed as the epicenter of the substance abuse in the United States, the prevalence and pattern of different trauma mechanisms in a rural context or in patients with different forms of substance abuse remain unclear.

OBJECTIVE

 We performed the following analysis to understand the prevalence of substance abuse in patients with different trauma mechanisms in the rural setting with high substance abuse in the West Virginia.

METHODS

 We performed a cross-sectional retrospective analysis of adult trauma patients (motor vehicle, fall, assault, firearm suicide, brawl/rape and machinery) hospitalized in two tertiary care hospitals in West Virginia between 2006 and 2016. We identified all patients who had a urine drug screen (UDS) test and extracted the data related to the substance and trauma.

RESULTS

 Among 8734 patients screened using UDS, 5940 (68.1%) patients were tested positive for the substance. Opiates, alcohol, benzodiazepines, and cannabis were the four most common substances identified in trauma victims. In all instances, the prescribed drug was less than 20%. Fatal outcome was observed in 366 patients in the sample, with 44% (n=162) testing positive for UDS, 12% (n=45) testing positive for only alcohol, and 15% (n=56) testing positive for both alcohol and UDS. Regarding the trauma mechanism, the motor vehicle accident (MVA) was the most prominent with a clear association of substance abuse with fatal outcome.

CONCLUSION

 The most prevalent trauma mechanism was a MVA, with a strong link between drug usage and mortality. Due to the high incidence of positive substance abuse screens, UDS tests may need to be more widely implemented in trauma in the West Virginia region. The findings of this study might help in establishing regional or national policies to reduce acute substance abuse.

Self-reported impacts of recreational and medicinal cannabis use on driving ability and amount of wait time before driving

OBJECTIVE

Past research indicates that driving after cannabis use is relatively common. However, not all cannabis users are equally likely to drive after use; frequent cannabis users and frequent drivers are most at risk. It has been suggested that this is due to a perceived lack of impact of cannabis on driving ability.

METHODS

The current study sought to better understand the motivation to drive after recent cannabis use. A survey was used to examine the self-reported impact of cannabis use on driving ability and, further, the amount of time cannabis users wait before driving after use. A total of 562 participants were recruited. Of these, 424 completed the survey and were included for analysis. Purposive sampling was used to screen for cannabis users who were over the age of 18 and residents of Connecticut.

RESULTS

Cannabis use frequency was found to predict the self-reported impact of both recreational and medicinal cannabis on driving ability, such that more frequent cannabis users reported less impairment. Additionally, cannabis use frequency was predictive of wait time before driving, where more frequent users reported waiting less time before driving after cannabis use. A plurality of participants reported not waiting at all before driving after using cannabis. Notably, the self-reported impact of cannabis on driving ability was not associated with wait time before driving.

CONCLUSIONS

Cannabis users may not wait before driving even if they think it has a negative impact on their driving ability. Other factors that potentially impact driving after using cannabis warrant investigation.

Notwendige Voraussetzungen einer kontrollierten Freigabe von Cannabis und anderer THC-haltiger Produkte

Zusammenfassung: Zielsetzung: Dieser Beitrag benennt notwendige Voraussetzungen der kontrollierten Abgabe von Cannabis an Erwachsene zur Begrenzung der mit der Freigabe verbundenen Schäden im Jugend- und Gesundheitsschutz. Ohne die vorgeschlagenen Maßnahmen würde lediglich ein weiterer Angebotskanal für THC-Produkte eröffnet, ohne die angestrebten Verbesserungen wie Stoffreinheit und Senkung der Drogenkriminalität zu erreichen. Methodik: Wir benennen die notwendigen legislativen Änderungen für eine schadensgeminderte kontrollierte Abgabe von Cannabis . Ergebnisse: Erforderlich für eine Abgabe von THC-haltigen Produkten ist eine THC-Steuer, die Behandlung von THC-Produkten als Arzneimittel gemäß Arzneimittelgesetz (AMG) und ihre Abgabe ausschließlich durch Apotheken. THC-Produkte dürfen nur von spezialisierten Unternehmen in Form der GmbH mit natürlichen Personen als Gesellschaftern hergestellt werden, die einer bankenanalogen Aufsicht und Wirtschaftsprüfung unterliegen. Ein Verbot jeglicher Werbung für THC-haltige Produkte ist unverzichtbar. Produkte dürfen eine Höchstmenge an THC Gehalt nicht überschreiten. Eine Beeinflussung der natürlichen THC-Aufnahme in den menschlichen Körper durch Zusatzstoffe oder besondere Zuführungstechniken etwa durch Verbindung mit Nikotin ist unzulässig. Nachfragern, die illegale Drogenanbieter im Markt halten, sind zur Erzwingung des Umschwenkens auf den neu eröffneten legalen Markt die Strafminderungen durch das Eigenverbrauchsprivileg ersatzlos zu streichen. Schlussfolgerungen: Eine kontrollierte Abgabe von Cannabis erfordert zwingend eine Reihe von gesetzlichen Vorschriften, um die bei einer Freigabe durch den Konsumanstieg anfallenden erheblichen medizinischen und ökonomischen Kosten zu mindern.

Effects of psychotropic drugs on ocular parameters relevant to traffic safety: A systematic review

Driving is a complex neurobehavioural task necessitating the rapid selection, uptake, and processing of visual information. Eye movements that are critical for the execution of visually guided behaviour such as driving are also sensitive to the effects of psychotropic substances. The Embase (via Ovid), EBSCOHost, Psynet, Pubmed, Scopus and Web of Science databases were examined from January 01st, 2000 to December 31st, 2021. Study selection, data extraction and Cochrane Risk of Bias (RoB2) assessments were conducted according to PRISMA guidelines. The review was prospectively registered (CRD42021267554). In total, 36 full-text articles examined the effects of six principal psychotropic drug classes on measures of oculomotor parameters relevant to driving. Centrally depressing substances affect oculomotor responses in a dose-dependent manner. Psychostimulants improve maximal speed, but not accuracy, of visual search behaviours. Inhaled Δ-9-tetrahydrocannabinol (THC) increases inattention (saccadic inaccuracy) but does not consistently affect other oculomotor parameters. Alterations to composite ocular parameters due to psychoactive substance usage likely differently compromises performance precision during driving through impaired ability to select and process dynamic visual information.

Drivers and Passengers in Vehicles Driven Under the Influence of Alcohol or Marijuana: Behavior Profiles and Risk Factors Among Young Adults in a Longitudinal Study

OBJECTIVE

Little research has examined psychosocial influences differentially associated with driving under the influence of alcohol and marijuana (DUIA/DUIM) or of being a passenger in a vehicle driven by someone under the influence of alcohol or marijuana (PVA/PVM).

METHOD

Using 2019 survey data among 2,375 young adults (M age = 24.66, 57.7% female, 51.2% in states with legal marijuana retail) in a longitudinal study examining vaping retail, we conducted latent class analysis (LCA) to identify classes of DUI-related behaviors and multinomial logistic regression to identify correlates of classes (e.g., individual, interpersonal, policy related).

RESULTS

A total of 22.6% reported past-month DUIA, 24.1% DUIM, 29.7% PVA, and 27.7% PVM. Of those reporting DUIA, 41.4% reported DUIM, 71.8% PVA, and 40.7% PVM. Of those reporting DUIM, 47.7% reported DUIA, 49.6% PVA, and 83.8% PVM. LCA indicated four classes: alcohol and marijuana risk takers (5.9%), all of whom reported DUIA and DUIM, 81.2% PVA, and 89.2% PVM; marijuana risk takers (14.2%), 45.1% DUIM, 100% PVM, 7.8% PVA, and 0% DUIA; alcohol risk takers (24.1%), 40.1% DUIA, 98.6% PVA, 2.6% DUIM, and 33.8% PVM; and low risk takers (55.8%), 8.7% DUIA, 4.5% DUIM, and 0% PVA/PVM. Relative to the other classes, alcohol and marijuana risk takers were more likely male, heterosexual, and White, and alcohol and marijuana risk takers reported greater depressive symptoms. Influences of parent/peer alcohol versus marijuana use were specific to the respective DUI risk behaviors. No differences emerged for legal marijuana retail.

CONCLUSIONS

Findings regarding those at particular risk, social influences, and situations under which DUI-related behaviors occur should inform future interventions and research.

Drivers and Passengers in Vehicles Driven Under the Influence of Alcohol or Marijuana: Behavior Profiles and Risk Factors Among Young Adults in a Longitudinal Study

OBJECTIVE

Little research has examined psychosocial influences differentially associated with driving under the influence of alcohol and marijuana (DUIA/DUIM) or of being a passenger in a vehicle driven by someone under the influence of alcohol or marijuana (PVA/PVM).

METHOD

Using 2019 survey data among 2,375 young adults (M age = 24.66, 57.7% female, 51.2% in states with legal marijuana retail) in a longitudinal study examining vaping retail, we conducted latent class analysis (LCA) to identify classes of DUI-related behaviors and multinomial logistic regression to identify correlates of classes (e.g., individual, interpersonal, policy related).

RESULTS

A total of 22.6% reported past-month DUIA, 24.1% DUIM, 29.7% PVA, and 27.7% PVM. Of those reporting DUIA, 41.4% reported DUIM, 71.8% PVA, and 40.7% PVM. Of those reporting DUIM, 47.7% reported DUIA, 49.6% PVA, and 83.8% PVM. LCA indicated four classes: alcohol and marijuana risk takers (5.9%), all of whom reported DUIA and DUIM, 81.2% PVA, and 89.2% PVM; marijuana risk takers (14.2%), 45.1% DUIM, 100% PVM, 7.8% PVA, and 0% DUIA; alcohol risk takers (24.1%), 40.1% DUIA, 98.6% PVA, 2.6% DUIM, and 33.8% PVM; and low risk takers (55.8%), 8.7% DUIA, 4.5% DUIM, and 0% PVA/PVM. Relative to the other classes, alcohol and marijuana risk takers were more likely male, heterosexual, and White, and alcohol and marijuana risk takers reported greater depressive symptoms. Influences of parent/peer alcohol versus marijuana use were specific to the respective DUI risk behaviors. No differences emerged for legal marijuana retail.

CONCLUSIONS

Findings regarding those at particular risk, social influences, and situations under which DUI-related behaviors occur should inform future interventions and research.

Alcohol-impaired driving among adults-USA, 2014-2018

INTRODUCTION

Alcohol-impaired driving (AID) crashes accounted for 10 511 deaths in the USA in 2018, or 29% of all motor vehicle-related crash deaths. This study describes self-reported AID in the USA during 2014, 2016 and 2018 and determines AID-related demographic and behavioural characteristics.

METHODS

Data were from the nationally representative Behavioral Risk Factor Surveillance System. Adults were asked 'During the past 30 days, how many times have you driven when you have had perhaps too much to drink?' AID prevalence, episode counts and rates per 1000 population were estimated using annualised individual AID episodes and weighted survey population estimates. Results were stratified by characteristics including gender, binge drinking, seatbelt use and healthcare engagement.

RESULTS

Nationally, 1.7% of adults engaged in AID during the preceding 30 days in 2014, 2.1% in 2016 and 1.7% in 2018. Estimated annual number of AID episodes varied across year (2014: 111 million, 2016: 186 million, 2018: 147 million) and represented 3.7 million, 4.9 million and 4.0 million adults, respectively. Corresponding yearly episode rates (95% CIs) were 452 (412-492) in 2014, 741 (676-806) in 2016 and 574 (491-657) in 2018 per 1000 population. Among those reporting AID in 2018, 80% were men, 86% reported binge drinking, 47% did not always use seatbelts and 60% saw physicians for routine check-ups within the past year.

CONCLUSIONS

Although AID episodes declined from 2016 to 2018, AID was still prevalent and more common among men and those who binge drink. Most reporting AID received routine healthcare. Proven AID-reducing strategies exist.

Examining the relationship between poor sleep health and risky driving behaviors among college students

Objective: Risky driving behaviors, such as texting while driving, are common among young adults and increase risk of traffic accidents and injuries. We examine the relationship between poor sleep and risky driving behaviors among college students as potential targets for traffic injury prevention.Methods: Data for this study were obtained from a cross-sectional survey administered to a college student sample in the United States Midwest (n = 1,305). Sleep was measured using the Pittsburgh Sleep Quality Index (PSQI). Risky driving behaviors were measured, including sending texts/emails; reading texts/emails while driving; talking on the phone while driving; falling asleep while driving; and driving under the influence. Risky driving behavior was defined as a response of "just once," "rarely," "sometimes," "fairly often" or "regularly" (reference = "never"). Logistic regression was used to examine the relationship between sleep and risky driving, after adjusting for confounders.Results: Among participants, 75% reported sending texts/emails while driving, 82% reported reading texts/emails while driving, and 84% reported phone talking while driving; 20% reported falling asleep while driving; 8% reported driving under the influence; and 62% reported 3 or more risky behaviors. Compared to those reporting no sleep disturbance, those with sleep disturbance "once or twice a week" were more likely to report sending a text/email while driving (aOR: 2.9, 95%CI:1.7-4.9), reading a text/email while driving (aOR:3.1,95%CI:1.5-5.5), talking on the phone while driving (aOR:1.9, 95%CI:1.0-3.4), and falling asleep while driving (aOR:3.4,95%CI:1.5-7.4). Compared to those reporting no daytime dysfunction, those reporting issues "once or twice a week" were more likely to report talking on the phone while driving (aOR:1.7, 95%CI:1.1-2.7) and falling asleep while driving (aOR:3.6,95%CI:2.3-5.6).Conclusions: Future research may consider designing behavioral interventions that aim to improve sleep, reduce drowsy driving among young adults.

Correlates of driving after cannabis use in high school students

Driving under the influence of cannabis is a growing public health concern among young people. This study assessed the prevalence of cannabis-impaired driving and its related sociodemographic, psychological, and knowledge-based correlates among Canadian adolescents. The sample for this study were drawn from the 2017 Ontario Student Health and Drug Use Survey (OSDUHS), consisting of high school students with valid driver's licenses (mean age = 16.8, SD = 0.71) who were asked about their driving behaviors, drug use, and attitudes regarding cannabis use (N = 1161). A multivariable logistic regression model was performed to determine the strongest correlates of driving after cannabis use. The prevalence of past-year driving within an hour of cannabis use was 10.3% (95% CI: 7.8,13.5). In the final multivariable model, probable cannabis dependence (OR = 12.7, 95%CI: 3.4,47.7), low perceived risk of cannabis use (OR = 5.3, 95%CI: 2.5,11.1), pro-legalization attitudes, (OR = 4.3, 95%CI: 2.0,9.1) and male gender (OR = 2.6, 95%CI: 1.5,4.5) were significantly associated with driving under the influence of cannabis. Other correlates of driving after cannabis user were risky driving behaviors, including past-year texting and driving and driving after alcohol use. There are various correlates of driving under the influence of cannabis, including attitudes related to cannabis which may be amenable to intervention. Future efforts should continue to monitor the prevalence of cannabis-impaired driving in this population and determine whether changes in students' attitudes surrounding cannabis are linked to behavioural changes.

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

OBJECTIVE

Marijuana policies in the United States have become more permissive, motivating research on demographic and policy-based differences in behaviors and attitudes towards driving after marijuana use. The Traffic Safety Culture Index is an annual survey with national scope and multiple measures relevant to driving after marijuana use. We tabulated responses to questions about driving after marijuana use from the Traffic Safety Culture Index based on demographic factors, recreational and medical marijuana policies, and per-se marijuana laws.

RESULTS

Male, younger, lower-income, and lower-education respondents self-reported driving after marijuana use more than their demographic counterparts, more often reported such behavior to be personally acceptable, and exhibited lower support per-se laws. Drivers in states that legalized medical marijuana self-reported driving after marijuana use slightly more than drivers in states where both medical and recreational were illegal. Support for per-se laws was higher among those in states that legalized recreational marijuana and in states with per-se laws. Demographic differences in our outcomes were consistent and cohesive. On the other hand, we found no predominant pattern suggesting that those in states with liberal marijuana policies were more tolerant of driving after marijuana use.

Prevalence and Correlates of Driving Under the Influence of Cannabis in the U.S

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.

Driving after marijuana use among U.S. adolescents: Prevalence profiles and related behaviors

OBJECTIVES

The interplay between marijuana legislation, perceptions of risks associated with marijuana use, and marijuana-related risk behaviors is an ever changing and complex issue. Marijuana impaired driving is of concern as legalization continues to expand in the United States. While driving after using marijuana has been shown to be prevalent among adults, little research has examined the behavior in adolescents. The aim of the present study was to examine the prevalence of driving after using marijuana among U.S. adolescents, with an examination of the relationship to age of marijuana initiation and marijuana usage patterns.

METHODS

We analyzed data from the 2017 Youth Risk Behavior Survey, a nationally representative sample of high schools students in the U.S. The sample was current marijuana users, defined as past 30 day use. Driving after using marijuana was the main outcome variable, with analyses examining the association between the outcome and age of initiation and patterns of use. Prevalence ratios were obtained by modeling Poisson regression to examine factors associated with driving under the influence of marijuana.

RESULTS

Nearly half of all marijuana users reported driving after use during the past 30 days, and did not differ between males and females. Prevalence of driving after using marijuana was significantly higher among heavy users (PR = 2.8; 95% CI 2.1-3.6). A higher prevalence of driving after drinking alcohol (PR = 1.7; 95% CI 1.5-1.9) was also found among those who had driven after using marijuana.

CONCLUSIONS

Among adolescent marijuana users, the prevalence of driving after using marijuana was high. Enhanced surveillance, prevention, and control measures are necessary to mitigate the negative impacts of marijuana consumption and related behaviors.

Risk factors associated with driving under the influence of drugs in the USA

BACKGROUND

Driving under the influence of drugs (DUID) is a burgeoning public health concern in the USA. Because little is known about individuals who engage in DUID, the purpose of this study was to analyse potential sociodemographic characteristics and behavioural risk factors associated with the behaviour.

METHODS

Self-reported data from drivers ≥18 years of age who ever used drugs and participated in the 2018 National Survey on Drug Use and Health were used. Characteristics of those who reported to engage and not engage in DUID were compared via frequencies, percentages and logistic regression analyses, which accounted for the multistage survey design.

RESULTS

Among eligible respondents, 10.4% (weighted n=117 275 154) reported DUID. DUID was higher among those aged 18-25 year (34%), males (65%), unmarried individuals (61%), lesbian/gay/bisexuals (13%), those whom abused or were drug dependent (45%), engaged in numerous risky lifestyle behaviours (12%) and those taking medication for a mental health issue (22%). Nearly 20% and 6% of respondents engaged in DUID abused or were dependent on marijuana or methamphetamine, respectively. The adjusted odds of DUID were greatest among those 18-25 years of age (OR 3.7; 95% CI 2.8 to 5.0), those never/not married (OR 1.8; 95% CI 1.5 to 2.2), those who abused or were drug dependent (OR 4.0; 95% CI 3.5 to 4.7), exhibited riskier lifestyle behaviours (OR 8.0; 95% CI 5.9 to 11.0), were employed (OR 1.3; 95% CI 1.1 to 1.6) or lesbian/gay/bisexuals (OR 1.4; 95% CI 1.1 to 1.7).

CONCLUSIONS

DUID was common among some population sub-groups who may benefit from intervention.

Cannabis use and driving under the influence: Behaviors and attitudes by state-level legal sale of recreational cannabis

BACKGROUND

As states continue to legalize the sale of recreational cannabis, there is a need to study attitudes and behaviors regarding driving after cannabis use. The purpose of this study was to describe US adults' attitudes and behaviors regarding driving after cannabis use by state-level legal sale of recreational cannabis, and to determine whether these associations differ by frequency of cannabis use.

METHODS

Data were collected from a national sample of 17,112 adults in the United States. Weighted adjusted prevalence ratios and 95% confidence intervals were used to compare the prevalence of behaviors and attitudes by state-level legal sale of recreational cannabis. Analyses were repeated among recent cannabis users, stratifying by cannabis use status.

RESULTS

Driving after cannabis use was more prevalent in legal cannabis sales states; however, so were potentially protective attitudes related to cannabis use and driving. After stratifying by frequency of use, daily/almost daily, weekly/monthly, and past 12-month users from states with legal recreational cannabis sales had significantly lower prevalence of driving after cannabis use and higher prevalence of protective attitudes compared to those from states without legal recreational sales. Risk perceptions were lower for cannabis than alcohol.

CONCLUSIONS

Public health messaging campaigns to reduce driving and riding after cannabis use and to improve attitudes regarding driving after cannabis use are warranted across all U.S. states, regardless of legalization status.

Cannabis and work: Need for more research

Cannabis sativa is one of the oldest and most widely used plants in the world with a variety of industrial, medical, and nonmedical applications. Despite its long history, cannabis-derived products remain a source of controversy across the fields of medicine, law, and occupational safety and health. More favorable public attitudes about cannabis in the US have resulted in greater access to cannabis through legalization by states, leading to more consumption by workers. As more states adopt cannabis access laws, and as more workers choose to consume cannabis products, the implications for existing workplace policies, programs, and practices become more salient. Past workplace practices were grounded in a time when cannabis consumption was always viewed as problematic, considered a moral failing, and was universally illegal. Shifting cultural views and the changing legal status of cannabis indicate a need for research into the implications and challenges relating to cannabis and work. This commentary suggests research needs in the following areas: (a) data about industries and occupations where cannabis consumption among workers is most prevalent; (b) adverse health consequences of cannabis consumption among workers; (c) workplace supported recovery programs; (d) hazards to workers in the emerging cannabis industry; (e) relationship between cannabis consumption and occupational injuries; (f) ways to assess performance deficits and impairment from cannabis consumption; (g) consumption of synthetic cannabinoids to evade detection by drug testing; (h) cannabis consumption and its effect on occupational driving; and (i) ways to craft workplace policies and practices that take into consideration conflicting state and federal laws pertaining to cannabis.

Self-reported driving after marijuana use in association with medical and recreational marijuana policies

BACKGROUND

A common concern surrounding increasingly permissive marijuana policies in the US is that they will lead to more dangerous behavior, including driving after marijuana use. Although there is considerable research on the effects of marijuana policies on behaviours, few studies have examined self-reported driving after marijuana use. In this study, we use data from the Traffic Safety Culture Index (TSCI) to model self-reported past-year driving after marijuana use in association with medical and recreational marijuana policies.

METHODS

We analysed individual responses to annual administrations of TSCI from years 2013-2017 using a multiple logistic regression model. Our outcome variable was self-reported past-year driving after marijuana use (at least once vs. never), and our primary explanatory variable was the respondents' state medical marijuana (MM) and recreational marijuana (RM) policy. Additional explanatory variables include policies that specify thresholds for marijuana-intoxicated driving, year, and demographic factors.

RESULTS

Drivers in states that legalized MM but not RM had marginally higher odds of self-reporting driving after marijuana use compared to drivers in states where both RM and MM were illegal (adjusted OR 1.29; 95% CI 0.98, 1.70; p = 0.075). However, we found little evidence that drivers in states that legalized both RM and MM had higher odds of driving after marijuana use compared to drivers in states where both RM and MM were illegal (adjusted OR 1.06; 95% CI 0.71, 1.56; p = 0.784). Per-se or THC threshold laws were associated with lower self-reported driving after marijuana use (adjusted OR 0.74; 95% CI 0.57, 0.95; p = 0.018).

CONCLUSION

Although we found some evidence of an association between MM legalization and self-reported driving after marijuana use, our results provide only mixed support for the hypothesis that permissive marijuana policies are associated with higher odds of self-reported driving after marijuana use.