Prevalence and Factors Associated With Criminal Behavior Among Illicit Drug Users: A Cross-Sectional Study

Drugs, crime, and racial disparities in the homeless population gathered from a sample of police reports: Evidence from Brazil

Brazil is one of the most unequal democracies in the world. Although the number of homeless individuals in our country has increased due to the reproduction of people living in extreme poverty, little has been discussed about their welfare and rights. In the present study, we provide analysis with a theoretical-methodological approach directed at homeless people living in the wealthy neoliberal middle-sized southeast city of São Paulo, Brazil's richest state. Data was acquired from police reports with prior permission from the Civil Police of São Paulo and the São Paulo Interior Judiciary Police Department. Our results illustrate that the homelessness phenomenon in Franca appears to be comparable to that of other large urban cities, where Blacks, a minority of the population, make up the bulk of homeless individuals. It also denies that homeless activity increases criminality, emphasizes the difference between Blacks and Whites drug users' criminal behavior, with Whites being more active in theft and robbery and Blacks in trafficking, and extends the idea that drug use by homeless people is stress-related and hence an indicator of a health condition.

Cannabis use, risk behaviours and harms in Brazil: A comprehensive review of available data indicators

ISSUES

Cannabis use and related health/social outcome indicator data for Brazil-where non-medical cannabis is generally illegal-are limited.

APPROACH

Towards a comprehensive overview of relevant indicators, we searched primary databases by combining MeSH-index terms related to cannabis, geographic location and subtopic terms (e.g., use, health, mortality) focusing on cannabis use and key outcome indicators in Brazil since 2010. In addition, relevant 'grey literature' (e.g., survey reports) was identified. Key indicator data were mainly narratively summarised.

KEY FINDINGS

Overall, cannabis use has increased somewhat since pre-2010, with (past-year) use rates measured at 2-3% for general population adults, yet 5% or higher among youth and/or (e.g., post-secondary) student populations. For key risk behaviours, the presence of tetrahydrocannabinol-positivity among motor-vehicle drivers has been measured at <2%. While the prevalence of cannabis use disorder appears to have decreased, the relative proportion of treatment provided for cannabis-related problems increased. National- and local-based studies indicated an association of cannabis use with mental health harms, including depression and suicidality. Although some non-representative and/or local studies contain information, other monitoring data, including cannabis-related risks and harms (e.g., cannabis-related driving, mortality, hospitalisations), are limited in availability.

IMPLICATIONS AND CONCLUSION

The prevalence of cannabis use in Brazil is comparably low (e.g., relative to elsewhere in the Americas). Data on numerous key cannabis-related indicators is absent, or limited in scope for Brazil. Considering ongoing evolutions in cannabis control and its status as the most common illicit drug, more comprehensive surveillance of cannabis use and related outcomes is advised.

Peter JV. Sugars and Sweet Taste: Addictive or Rewarding?

The notion of food "addiction" often focuses on the overconsumption of sweet tasting foods or so-called sugar "addiction". In the extreme, some have suggested that sugar and sweet tastes elicit neural and behavioral responses analogous to those observed with drugs of abuse. These concepts are complicated by the decades long uncertainty surrounding the validity and reproducibility of functional magnetic resonance imaging (fMRI) methodologies used to characterize neurobiological pathways related to sugar and sweet taste stimuli. There are also questions of whether sweet taste or post-ingestion metabolic consequences of sugar intake would lead to addiction or excessive caloric intake. Here, we present a focused narrative review of literature related to the reward value of sweet taste which suggests that reward value can be confounded with the construct of "addictive potential". Our review seeks to clarify some key distinctions between these constructs and questions the applicability of the addiction construct to human over-eating behaviors. To adequately frame this broad discussion requires the flexibility offered by the narrative review paradigm. We present selected literature on: techniques used to link sugar and sweet tastes to addiction neurobiology and behaviors; sugar and sweet taste "addiction"; the relationship of low calorie sweetener (LCS) intake to addictive behaviors and total calorie intake. Finally, we examined the reward value of sweet tastes and contrasted that with the literature describing addiction. The lack of reproducibility of fMRI data remains problematic for attributing a common neurobiological pathway activation of drugs and foods as conclusive evidence for sugar or sweet taste "addiction". Moreover, the complicated hedonics of sweet taste and reward value are suggested by validated population-level data which demonstrate that the consumption of sweet taste in the absence of calories does not increase total caloric intake. We believe the neurobiologies of reward value and addiction to be distinct and disagree with application of the addiction model to sweet food overconsumption. Most hypotheses of sugar "addiction" attribute the hedonics of sweet foods as the equivalent of "addiction". Further, when addictive behaviors and biology are critically examined in totality, they contrast dramatically from those associated with the desire for sweet taste. Finally, the evidence is strong that responses to the palatability of sweets rather than their metabolic consequences are the salient features for reward value. Thus, given the complexity of the controls of food intake in humans, we question the usefulness of the "addiction" model in dissecting the causes and effects of sweet food over-consumption.

Effects of contingency management and use of reminders for drug use treatment on readmission and criminality among young people: A linkage study of a randomized trial

INTRODUCTION

An increasing number of adolescents and emerging adults are entering treatment for drug use disorders in high-income countries. This fact points not only to a need to evaluate treatment outcomes related to drug use reduction, but also to evaluate other indicators of treatment success. The aim of this study was to examine treatment effects on predicting readmission to drug use treatment and being convicted for a criminal offence among youth. A second aim was to examine whether a psychiatric history had an impact on these outcomes.

METHODS

Participants were 460 youth aged 15-25 who took part in the YouthDAT, a randomized pragmatic clinical trial for outpatient drug use treatment. The trial compared four treatment conditions consisting of 12 sessions of a manualized treatment based on cognitive behavioral therapy and motivational interviewing. Condition one was the standard (only the manual); condition two consisted of standard treatment and contingency management (CM) (Vouchers); condition three included standard treatment, text reminders, and low-intensity aftercare (Reminders+LIA); and condition four combined the standard treatment, CM, text reminders, and low-intensity aftercare (Combined+LIA). The study linked participants to register data on psychiatric history, drug use treatment history, and criminal convictions.

RESULTS

Treatment conditions Reminders+LIA (aB = 0.42, p = .026) and Combined+LIA (aB = 0.69, p = .000) predicted longer time to readmission compared to standard treatment. The Vouchers condition predicted a lower risk for criminal convictions (aIRR = 0.26, p = .001). Half of the participants had a psychiatric history. The treatments with additional strategies were useful in delaying readmission and reducing convictions for these youth. The results remained significant in the adjusted models accounting for relevant participant characteristics.

CONCLUSIONS

Additional treatment strategies in outpatient drug use treatment, such as CM, text reminders, and low-intensity aftercare, predicted delayed readmission to treatment and fewer legal problems. Mental health problems were common among youth. However, the treatments with additional strategies were effective with youth with a psychiatric history. Overall, while the additional strategies may be resource demanding for clinical settings, they support treatment success and may also help to decrease other public costs.

TRIAL REGISTRATION

ISRCTN registry ISRCTN27473213.

Trends in alcohol and marijuana detected in homicide victims in 9 US states: 2004-2016

Background

Use of alcohol and other drugs is a major risk factor for assaultive injuries and violent deaths. The purpose of this study was to examine the time trends in the prevalence of alcohol and marijuana detected in homicide victims.

Methods

We analyzed toxicological testing data for homicide victims (n = 12,638) from the 2004–2016 National Violent Death Reporting System in 9 US states (Colorado, Georgia, Massachusetts, New Jersey, Oregon, Rhode Island, South Carolina, Virginia, and Wisconsin). We used the Cochran-Armitage test for trend to assess the statistical significance of changes in the prevalence of alcohol and marijuana detected in these homicide victims during the study period.

Results

Overall, 37.5% of the homicide victims tested positive for alcohol, 31.0% positive for marijuana, and 11.4% positive for both substances. During the study period, the prevalence of marijuana increased from 22.3% (95% confidence interval [CI] = 19.6, 25.0) in 2004 to 42.1% (95% CI = 39.2, 44.9) in 2016 (Z = -15.7; P < .001) while the prevalence of alcohol declined slightly (Z = 1.5; P = 0.143). Marked increases in the prevalence of marijuana were observed in both sexes and across age and racial groups.

Conclusions

Marijuana is increasingly detected in homicide victims irrespective of demographic characteristics. Further research is needed to assess the causal role of marijuana use and concurrent use of marijuana and alcohol in homicide victimization.

Trajectories of Dynamic Risk Factors as Predictors of Violence and Criminality in Patients Discharged From Mental Health Services: A Longitudinal Study Using Growth Mixture Modeling

Background: Individuals with severe mental illnesses are at greater risk of offenses and violence, though the relationship remains unclear due to the interplay of static and dynamic risk factors. Static factors have generally been emphasized, leaving little room for temporal changes in risk. Hence, this longitudinal study aims to identify subgroups of psychiatric populations at risk of violence and criminality by taking into account the dynamic changes of symptomatology and substance use. Method: A total of 825 patients from the MacArthur Violence Risk Assessment Study having completed five postdischarge follow-ups were analyzed. Individuals were classified into outcome trajectories (violence and criminality). Trajectories were computed for each substance (cannabis, alcohol, and cocaine, alone or combined) and for symptomatology and inputted as dynamic factors, along with other demographic and psychiatric static factors, into binary logistic regressions for predicting violence and criminality. Best predictors were then identified using backward elimination, and receiver operator characteristic (ROC) curves were calculated for both models. Results: Two trajectories were found for violence (low versus high violence). Best predictors for belonging in the high-violence group were low verbal intelligence (baseline), higher psychopathy (baseline) and anger (mean) scores, persistent cannabis use (alone), and persistent moderate affective symptoms. The model's area under the curve (AUC) was 0.773. Two trajectories were also chosen as being optimal for criminality. The final model to predict high criminality yielded an AUC of 0.788, retaining as predictors male sex, lower educational level, higher score of psychopathy (baseline), persistent polysubstance use (cannabis, cocaine, and alcohol), and persistent cannabis use (alone). Both models were moderately predictive of outcomes. Conclusion: Static factors identified as predictors are consistent with previously published literature. Concerning dynamic factors, unexpectedly, cannabis alone was an independent co-occurring variable, as well as affective symptoms, in the violence model. For criminality, our results are novel, as there are very few studies on criminal behaviors in nonforensic psychiatric populations. In conclusion, these results emphasize the need to further study the predictors of crime, separately from violence and the impact of longitudinal patterns of specific substance use and high affective symptoms.