Drug Legalization, Elite Support, and Government Effectiveness in Latin America

In Latin America, the legalization of drugs—where it occurred—has been driven mainly by elites, although much attention has been placed on public opinion. Considering that efforts toward legalization have been top-down, analysis should concentrate on opinions of the governing elites. To undertake such an analysis, we draw on data from surveys conducted in 18 Latin American parliaments (2012–2018), and we examine elite perspectives on the legalization of all drugs. Results from a Bayesian hierarchical logistic analysis show that in countries where the government is less effective, and where public health problems persist, legislators are less likely to support legalization. We argue that this is due to a lack of trust by MPs in legalization as a solution to trafficking. Wherever those concerned with drug trafficking see the current government as problematic, they will be less likely to support so challenging and complex a policy as drug legalization.

Examining Recovery Status and Supports before and after Substance Abuse Disorder Treatment Among Clients Who Experienced Lifetime and Recent Firearm-Related Threats

Firearm-related risks have often been overlooked in the sequela of substance use and substance use disorders. This study compares adult substance abuse disorder treatment (SADT) clients who experienced recent ( n = 274) and lifetime ( n = 889) firearm threats to adults who were not threatened with a firearm ( n = 2029) before and 12 months after program entry. More men experienced firearm threats (38.8%) than women (34.2%). However, among those with any firearm threats, more women (27.2%) experienced firearm threats in the year before program entry than men (20.2%). Being threatened with a firearm was associated with increased economic vulnerability, criminal justice system involvement, mental health problems, and victimization both before and after SADT program entry. A higher number of adverse childhood experiences were associated with firearm threats and particularly recent firearm threats. Results of this study underscore the importance of screening for firearm-related risks in substance abuse disorder treatment programs.

Substance Involvement and Probation Outcomes: Evidence From a Cohort Study

Substance use disorders are common among justice-involved populations, the majority of whom are under community supervision in the form of probation. Substance involvement can amplify the challenges of complying with requirements of probation supervision, violations of which can lead to incarceration. In this study, we assess the role of substance involvement in violations of probation conditions across 47 counties representing 70% of individuals sentenced to probation in the state of Pennsylvania. We also consider the role of court-ordered treatment. We conclude by estimating the consequences of resentencing for substance-involved individuals in Pennsylvania (in incarceration and supervision days). Results suggest that individuals who are substance-involved are at greater risk of technical violations. However, treatment may reduce some negative outcomes for substance-involved individuals. Court-ordered treatment was associated with a reduction in the likelihood of being resentenced for a new offense relative to individuals who were substance-involved but not ordered to treatment.

A Comparison of Marijuana Use Across Different Levels of Justice-Involved Populations

A large portion of the U.S. population is justice-involved, an important at-risk population with poor physical/mental health outcomes and increased rates of substance use. Using the 2018 National Survey on Drug Use and Health, the current study assesses marijuana use across level of community-based justice involvement (i.e., arrest, probation, and parole) among adults. Given increasing rates of marijuana use and a relative lack of research, the current study addresses an important gap in the literature. Findings from logistic regression analysis show that adults who had been arrested or were on probation were more likely to use marijuana compared to adults with no justice involvement, while adults on parole were less likely to use marijuana than those on probation. This study offers evidence of differences in marijuana use across level of justice involvement, which may be attributable to other substance use behaviors, and has important implications for criminal justice practice.

Are Drug-Free School Zones Effective? Evidence From Matching Schools and School-like Entities

Using a combination of spatial and statistical analysis, this paper focuses on analyzing the effectiveness of drug-free school zones (DFSZ) around K-12 schools in Los Angeles County. A propensity score matching model is employed to match schools and school-like entities to compare the amount of drug crimes in two distinct 1000-foot buffers surrounding them. The model is then compared to a coarsened exact matching model. The average treatment effects (ATE) and average treatment effects on the treated (ATT) are estimated. Our results indicate that there are 2.7 and 1.7 fewer drug crimes and non–marijuana-related drug crimes respectively near schools, as a result of the policy. The total effect of the policy is estimated to reduce drug crime near schools by between 1065 to 1643 fewer incidences per year. Furthermore, we find no significant differences in gang-related drug crimes, gang-related violent crimes, or property crimes as a result of the policy.

Feigning Symptoms to Obtain Prescription Stimulants: A Vignette-Based Study on Its Conditions

This vignette-based study examined the willingness to feign symptoms to obtain a prescription following an analysis on who might use prescription stimulants to enhance performance ( N = 3,468). It experimentally manipulated three factors: the social disapproval of prescription stimulant use for enhancement purposes, the physicians’ diagnostic efforts, and the medical condition (attention-deficit/hyperactivity disorder and narcolepsy); respondent characteristics of self-control, personal morality, and self-efficacy were also measured. Our results showed that social disapproval of prescription drug use, a personal morality that disapproves of drug use, high self-control, and high self-efficacy were negatively associated with the willingness to use. Willingness increased especially in situations of social approval when there was a stronger personal approval of drug use, or surprisingly when physicians’ diagnostic efforts were higher. The feigning willingness was lower in situations of social disapproval and when personal morality disapproved of feigning. Thus, personal and situational characteristics are relevant to understand both behaviors.

COVID-19’s Impact on Substance Use and Well-Being of Younger Adult Cannabis Users in California: A Mixed Methods Inquiry

Few qualitative studies have examined the impact of COVID-19 on cannabis and alcohol use, and overall well-being among cannabis users. Cannabis users (aged 26-32) were surveyed quantitatively (n=158) and interviewed qualitatively (n=29) in April 2020–May 2021 in Los Angeles. 63.3% of the quantitative sample reported increasing use of either cannabis (29.1%) or alcohol (15.2%) or both (19.0%) following the COVID-19 outbreak. Qualitative data revealed that increases in cannabis and alcohol use were largely attributed to changes in employment and staying at home resulting in fewer impediments and boredom. Themes of loneliness and utilization of various coping strategies were more pronounced among those who increased cannabis and/or alcohol use. For some, increases in cannabis/alcohol use were temporary until participants adjusted to “a new normal” or embraced more adaptive coping strategies. Results suggest monitoring cannabis/alcohol use trends and identifying coping strategies to reduce the pandemic’s impact on substance use and mental health.

Predictors of Early-Onset Cannabis Use in Adolescence and Risks for Substance Use Disorder Symptoms in Young Adulthood

Early detection of risks for substance use disorders is essential to lifelong health and well-being for some youth. Very early-onset use is proposed as an indicator of risk for substance use disorders, but risk and protective factors related to early-onset use have not been identified. The current study compared risk and protective factors that distinguish early- and late-onset cannabis users from abstainers using data collected from a large community sample. The study also examined onset-group differences in participants’ reports of substance use disorder symptoms a decade later. Heavy episodic drinking (early-onset: OR = 7.29 CI = [1.60, 33.19]) and engagement with peers involved in deviant behaviors (early-onset: OR = 2.50 CI = [1.50, 4.13]) are risk factors for early-onset cannabis use. Protective factors, including parent monitoring (early-onset: OR = 0.73 CI = [0.58, 0.93]), engagement with peers involved in positive behaviors (early-onset: OR = 0.54 CI = [0.39, 0.76]), school engagement (early-onset: OR = 0.83 CI = [0.72, 0.96]), and academic grades (early-onset: OR = 0.37 CI = [0.21, 0.65]) also predicted early versus later onset-group differences. Early age of onset may be distinctly related to risk and protective factors previously associated with risks for substance use in all adolescents.

Risk Factors Associated With Driving After Cannabis Use Among Canadian Young Adults

This study identifid the most prominent risk factors associated with driving after cannabis use (DACU). 1,126 Canadian drivers (17–35 years old) who have used cannabis in the past 12 months completed an online questionnaire about sociodemographic information, substance use habits, cannabis effect expectancies, driving behaviours and peers’ behaviours and attitudes concerning DACU. A hierarchical logistic regression allowed identifying variables that were associated with DACU. Income (CA$30,000–CA$69,000), weekly-to-daily cannabis use, higher level of cannabis-related problems, expectation that cannabis facilitates social interactions, drunk driving, belief that DACU is safe, general risky driving behaviours, having a few friends who had DACU and injunctive norms predicted past 12-month DACU. Older age, holding negative expectations concerning cannabis, driving aggressively and perceived accessibility of public transportation decreased the probability of DACU. With restricted resources, programmes will be more efficient by targeting Canadian young adults most inclined to DACU by focussing on these risk factors.

A Model for Predicting the Class of Illicit Drug Suspects and Offenders

In this study, the artificial neural network was deployed to develop a classification model for predicting the class of a drug-related suspect into either the drug peddler or non-drug peddler class. A dataset consisting of 262 observations on drug suspects and offenders in central Nigeria was used to train the model which uses parameters such as exhibit type, suspect’s age, exhibit weight, and suspect’s gender to predict the class of a suspect, with a predictive accuracy of 83%. The model sets the pace for the implementation of a full system for use at airports, seaports, police stations, and by security agents concerned with drug-related matters. The accurate classification of suspects and offenders will ensure a faster and correct reference to the sections of the drug law that correspond to a particular offence for appropriate actions such as prosecution or rehabilitation.