Predictors of initiation of nicotine, alcohol, cannabis, and cocaine use: Results of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC)

Using Latent Class Analysis to Examine Polysubstance Use Patterns in Adolescents Aged 10-18: A Systematic Review

PURPOSE

Over half of substance use disorder (SUD) cases develop from substance use during adolescence. Studies have used latent class analysis (LCA) to determine adolescent polysubstance use patterns. This systematic review aims to provide an updated characterization of studies that examine patterns of adolescent polysubstance use.

METHODS

This paper is part of a two-part systematic review examining patterns of polysubstance use. This review focuses on the adolescent literature, which includes study samples with mean age up to 18 years.

RESULTS

A majority of the N=54 studies were conducted in the United States. Sample sizes (N=98 to N=418,702), number of substances used as indicators (3 to 15), and number of latent classes extracted (2 to 6) varied per study. Analyses with larger sample sizes tended to extract a greater number of latent classes (Spearman's rho = .274, p = .022). The mean ages of samples (Spearman's rho = .255, p = .181) nor the utilization of more substances as indicators (Spearman's rho = 0.021, p = .861) were associated with the number of classes extracted. The Bayesian Information Criterion was the most used statistical fit index for the latent classes.

DISCUSSION

Substantial heterogeneity existed regarding study methodologies, LCA solutions, and statistical measures. Analyses focusing on niche population samples tended to highlight patterns involving less commonly used substances among adolescents. Future studies should expand on the types of substances used as indicators to explore how polysubstance use patterns are influenced by unique geographical communities.

Comorbid Cannabis Use and Mood Disorders Among Adolescents

Adolescence is a unique developmental period marked by increased exploration and risk-taking, as well as important brain development milestones. Many people who use substances will begin using during adolescence, and cannabis is the most commonly used illicit substance among adolescents. For adolescents with mood disorders, cannabis use (and, by extension, cannabis use disorder) is even more likely, and the associated consequences are even more significant. In this review, we explore the assessment of cannabis use disorder among adolescents, the impact of cannabis use on mood symptoms, level-of-care recommendations for adolescents with comorbid cannabis use and mood disorders, and effective treatment options.

Trajectories of Single- or Multiple-Substance Use in a Population Representative Sample of Adolescents: Association with Substance-Related and Psychosocial Problems at Age 17

BACKGROUND

Research is limited regarding the relationship between adolescent substance use and polysubstance use (SU/PSU) as well as their outcomes later in adolescence, while accounting for early risk factors. This study explored substance-related and psychosocial outcomes at age 17 associated with SU/PSU developmental trajectories in a population-representative cohort from Quebec, Canada (N = 1593; 48.4% male), while controlling for preadolescent individual, familial, and social risk factors. SU/PSU included concurrent use of alcohol (AL), cannabis (CA), and other illicit drugs (ODs).

METHODS

Self-reported substance use data were collected at ages 12, 13, 15, and 17. Latent growth modeling identified five trajectories: Non-Users (12.8%) and four SU/PSU classes (5.8-37.5%) with varying severity based on onset, frequency, and substance type. Multinomial regression, using non-users as the reference group, assessed trajectory associations with age-17 outcomes. Individual, familial, and social risk factors assessed at ages 10-12 served as control variables.

RESULTS

Adolescents in high-risk SU/PSU classes showed the most negative substance-related and psychosocial outcomes compared to non-users and lower-risk SU/PSU classes. Lower-risk SU/PSU classes showed higher maladjustment than non-users.

CONCLUSIONS

The findings highlight a dose-response relationship between SU/PSU trajectories and late-adolescent outcomes, independent of preadolescent risk factors. Results emphasize the importance of longitudinal studies that incorporate multiple substances to better capture the complexity of teenagers' involvement in substance use throughout adolescence.

Validity, reliability and clinical utility of ASSIST-Y in assessing risk of substance-related harm and dependence in Spanish male adolescents

BACKGROUND

Substance use among adolescents is strongly associated with adverse physical, mental health, and social outcomes. Prevention and early intervention can reduce the likelihood of future problems, but requires valid and reliable screening tools capable of assessing risk across a range of substances. This study assessed the validity, reliability, and clinical utility of the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST-Y) for adolescents aged 15-17 years.

METHODS

A sample of adolescent males (N = 101), aged 15-17 years, held in a juvenile detention facility on substance-related offences in Barcelona, Spain were eligible. Participants were administered a battery of standardized substance-use screening tools by a clinical psychologist, and underwent a diagnostic interview assessing DSM-IV-TR substance abuse and dependence by an addiction medicine specialist. Scores on the various assessments were compared to establish validity (concurrent with interview, convergent with other measures), reliability, and clinical utility of ASSIST-Y.

RESULTS

Majority of participants (n = 77) completed assessments. While tobacco was not assessed as part of the interview, concurrent validity in detecting substance abuse was established for all remaining substances. Concurrent validity for detecting dependence was established for alcohol, cannabis, cocaine, stimulants and sedatives. Fewer numbers in higher-risk groups for inhalants, opioids and hallucinogen use limited confirmation of validity for those substances. ASSIST-Y also demonstrated good convergent validity with the other screening tools for all substances, except hallucinogens. Reliability for each subscale was established, except for tobacco (too few items), sedatives, and hallucinogens. Finally, clinical utility indices were significant for most substances (except sedatives and opioids); whilst clinical utility indices were significant for ruling out cases of non-dependence (all substances).

CONCLUSIONS

As a screening tool, the purpose of ASSIST-Y is designed to help identify adolescents who may be at-risk of substance-related harm. While the instrument was found to be valid and reliable in identifying risky use across a variety of substances, further research is needed to validate the instrument in other population groups, and for other substances. Future research should investigate the effect of the linked brief intervention to reduce risk of harm, especially for non-specialist clinicians.

Peer E-Cigarette and Cannabis Use and Adolescent Anxiety: Findings from a Mixed-Methods Study

OBJECTIVE

Adolescents are typically motivated to conform to peer influence, including substance use behaviors, and it is likely that adolescents who deviate from their peers' substance use behaviors might experience stress and anxiety.

METHOD

A mixed-methods approach was utilized to examine the relationship between peer e-cigarette and cannabis use and symptoms of generalized anxiety among a diverse sample of 12th grade students in Los Angeles County, California, USA (N = 1,867, Mage = 17.04, SD = 0.43). Multivariable logistic regression models examined the associations between peer substance (e-cigarette and cannabis) use and anxiety. The interactions of prior e-cigarette and cannabis use on these relationships were also tested. Focus group data (n = 27) were analyzed to identify themes that could further inform the quantitative associations.

RESULTS

Peer cannabis use was associated with increased odds of moderate - severe generalized anxiety (OR = 1.47, p = 0.02), but peer e-cigarette use was not (OR = 1.20, p = 0.28). These relationships were moderated by prior history of e-cigarette and cannabis use (OR = 0.44, p = 0.02; OR = 0.31, p = 0.001, respectively). Focus group findings highlighted exposure to friends and peers using substances and having mixed feelings surrounding peer use, including feelings of anxiety and discomfort with being around friends using substances or deviating from their friends' substance use behaviors.

CONCLUSION

These findings highlight the difficulties for teens navigating peer relationships and peer influence as their friends decide to participate in risky behaviors. Better health programs and interventions addressing peer influence, advocacy, and respecting one's decision to not use substances is needed.

Problematic Substance Use in Depressed Youth: Associations with Suicidal Ideation and Suicide Attempt History

Objective: Depressed youth exhibit higher rates of suicidal behavior compared to healthy controls, with problematic substance use potentially intensifying this risk. Accordingly, this study aimed to examine the impact of comorbid depression and problematic substance use and its association with suicidality in youth populations. Methods: We examined differences in clinical features and demographic characteristics between 797 depressed youth ages 8-20 years with and without problematic substance use from the Texas Youth Depression and Suicide Research Network (TX-YDSRN). Additionally, to assess whether the effect of depression severity on suicidal ideation and suicide attempt history were influenced by problematic substance use, multivariable linear and logistic regression analyses were conducted. Results: Depressed youth with problematic substance use (versus those without) were significantly older, more likely to exhibit suicidal ideation and a history of suicide attempts and had significantly worse school functioning after controlling for age, sex, race, and ethnicity. Problematic substance use did not moderate the effect of depression severity on suicidal ideation or suicide attempt history. Conclusions: Findings shed light on the impact of problematic substance use in depressed youth which may allow for earlier and more specified intervention efforts aimed at identifying and targeting youth suicidality.

A Bivariate Twin Study of Lifetime cannabis Initiation and Lifetime Regular Tobacco Smoking Across Three Different Countries

Regular cigarette smoking and cannabis consumption are strongly positively related to each other, yet few studies explore their underlying variation and covariation. We evaluated the genetic and environmental decomposition of variance and covariance of these two traits in twin data from three countries with different social norms and legislation. Data from the Netherlands Twin Register, FinnTwin12/16, and the Minnesota Center for Twin Family Research (total N = 21,617) were analyzed in bivariate threshold models of lifetime regular smoking initiation (RSI) and lifetime cannabis initiation (CI). We ran unstratified models and models stratified by sex and country. Prevalence of RSI was lowest in the Netherlands and prevalence of CI was highest in Minnesota. In the unstratified model, genetic (A) and common environmental factors (C) contributed substantially to the liabilities of RSI (A = 0.47, C = 0.34) and CI (A = 0.28, C = 0.51). The two liabilities were significantly phenotypically (rP = 0.56), genetically (rA = 0.74), and environmentally correlated in the unstratified model (rC = 0.47and rE = 0.48, representing correlations between common and unique environmental factors). The magnitude of phenotypic correlation between liabilities varied by country but not sex (Minnesota rP ~ 0.70, Netherlands rP ~ 0.59, Finland rP ~ 0.45). Comparisons of decomposed correlations could not be reliably tested in the stratified models. The prevalence and association of RSI and CI vary by sex and country. These two behaviors are correlated because there is genetic and environmental overlap between their underlying latent liabilities. There is heterogeneity in the genetic architecture of these traits across country.

Adolescent E-Cigarette Expectancies: Measure Development and Preliminary Validity of the Electronic Nicotine Vaping Outcomes Measure for Youth

Background

Electronic nicotine delivery systems ("e-cigarettes") are the nicotine product most commonly used by adolescents. Research, treatment, and policy could benefit from measures of adolescent e-cigarette beliefs about outcomes of use (ie, expectancies). In the current study, we developed and tested an adolescent electronic nicotine vaping expectancy measure.

Methods

A focus group with adolescents evaluated potential e-cigarette expectancy items. A panel of national experts assisted in revision of these items. Finally, items were administered to a sample of adolescents 14-17 years old (N = 267, Mean age 15.6, SD = 1.1, 50.9% Female, 50.2% Non-Hispanic White, 22.5% Non-Hispanic Black, 14.2% Hispanic) in a large Southeastern metropolitan area in the United States.

Results

Exploratory Factor Analysis revealed a four factor solution: Negative Consequences (Cronbach's α = .92); Positive Reinforcement (α = .83); Negative Affect Reduction (α = .95); and Weight Control (α = .89). Subscales were significantly correlated with vaping susceptibility and lifetime vaping. Subscales successfully differentiated susceptible adolescents from confirmed non-susceptible adolescents, with susceptible adolescents reporting more positive expectancies, eg, Positive Reinforcement, M = 5.0, SD = 2.0 vs M = 3.0, SD = 2.1, P < .001, η2 = 0.19, and less negative expectancies, M = 5.5, SD = 2.3 vs M = 6.5, SD = 2.6, P = .001, η2 = 0.04. Similar results were found comparing adolescents who have never vaped nicotine with those who have vaped nicotine. Hierarchical linear regression demonstrated subscales were significant predictors of lifetime vaping after controlling for demographics, vaping ad exposure, and peer/family vaping.

Conclusions

A preliminary version of an adolescent expectancy measure appears reliable and valid based on expert input and pilot testing with adolescents. Promising results were found in the domains of concurrent validity, discriminant validity, and incremental validity. Future research and evaluation efforts will be able to use this tool to further prevention and treatment goals.

Association Between Child Maltreatment and Substance Use Disorder Across Emerging Adulthood

Child maltreatment is associated with substance use beginning in adolescence and throughout early adulthood. Substance use disorders (SUD) are most likely to develop during emerging adulthood (18-25 years old). Thus, to develop effective substance use prevention strategies, it is useful to know the ages at which associations between maltreatment exposure (prior to age 18) and SUD are most strongly tied. This study examined the age-varying association between child maltreatment and past-year SUD in emerging adulthood by sex and by maltreatment type using time-varying effect models (TVEM). Data were from the National Epidemiological Survey on Alcohol and Related Conditions (NESARC-III). The analytic sample consisted of 5194 emerging adults. The association was strongest at younger ages, with individuals who experienced child maltreatment having three times greater odds of reporting SUD in the past-year. Differential associations were found by sex, racial-ethnic group, and maltreatment type across age. Prevention efforts may be more effective if their development is informed by these important differences and targeted at emerging adults rather than adolescents.

Interactions Between Genetic, Prenatal Substance Use, Puberty, and Parenting are Less Important for Understanding Adolescents' Internalizing, Externalizing, and Substance Use than Developmental Cascades in Multifactorial Models

This study tested interactions among puberty-related genetic risk, prenatal substance use, harsh discipline, and pubertal timing for the severity and directionality (i.e., differentiation) of externalizing and internalizing problems and adolescent substance use. This is a companion paper to Marceau et al. (2021) which examined the same influences in developmental cascade models. Data were from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort (n = 4504 White boys, n = 4287 White girls assessed from the prenatal period through 18.5 years). We hypothesized generally that later predictors would strengthen the influence of puberty-related genetic risk, prenatal substance use exposure, and pubertal risk on psychopathology and substance use (two-way interactions), and that later predictors would strengthen the interactions of earlier influences on psychopathology and substance use (three-way interactions). Interactions were sparse. Although all fourteen interactions showed that later influences can exacerbate or trigger the effects of earlier ones, they often were not in the expected direction. The most robust moderator was parental discipline, and differing and synergistic effects of biological and socially-relevant aspects of puberty were found. In all, the influences examined here operate more robustly in developmental cascades than in interaction with each other for the development of psychopathology and transitions to substance use.

Cannabis use and social anxiety disorder in emerging adulthood: Results from a nationally representative sample

Cannabis use and social anxiety disorder (SAD) are prevalent during emerging adulthood. Previous work has demonstrated that SAD is related to cannabis use in adults; however, less is known about what correlates relate to this association in emerging adults. A subsample of individuals ages 18-25 years old from the NESARC-III (N = 5194) was used to (a) evaluate the association between cannabis use and SAD and (b) examine what correlates may be associated with cannabis use and SAD in emerging adulthood. Weighted cross-tabulations assessed sociodemographics and lifetime psychiatric disorder prevalence estimates among the emerging adult sample. Multinomial logistic regressions examined associations between sociodemographics and psychiatric disorders and four groups (i.e., no cannabis use or SAD; cannabis use only; SAD only; cannabis use + SAD). The prevalence of co-occurring cannabis use and SAD was 1.10%. Being White, a part-time student, or not a student were associated with increased odds of having co-occurring cannabis use + SAD (OR range: 2.26-3.09). Significant associations also emerged between major depressive disorder, bipolar I disorder, generalized anxiety disorder, specific phobia, agoraphobia, and panic disorder and co-occurring cannabis use + SAD (AOR range: 3.03-19.05). Results of this study may have implications for better identifying and screening emerging adults who are at risk of co-occurring cannabis use and SAD.

Substance Use, Sleep Duration, and Health Among Adults in Ohio

Introduction

Substance use affects approximately 46.3 million people aged 12 years or older (16.5% of the US population) and is associated with poor sleep health overall.

Methods

We conducted a cross-sectional secondary analysis of data from the 2020 Behavioral Risk Factor Surveillance System survey in Ohio. The sample comprised 14,676 adults. We examined associations between the use of 2 types of substances (marijuana and nonprescribed prescription pain medication) and short sleep duration (<6 hours per night) and overall health (mental, physical, and general). We used linear and logistic regression modeling while adjusting for individual-level (age, sex, race and ethnicity, education, income, and body mass index) and area-level (socioeconomic deprivation) covariates.

Results

Of survey respondents who answered questions, 9.2% (1,140 of 12,362) reported using marijuana, and 1.4% (111 of 8,203) used nonprescribed prescription pain medication. Respondents who used marijuana used it an average 17.3 days per month. In adjusted logistic regression models, the odds of reporting short sleep duration were 2.4 times greater among respondents who used nonprescribed prescription pain medication (vs those who did not). The odds of reporting short sleep duration, poor mental health, poor physical health, and poor general health were 1.5, 1.3, 2.1, and 1.9 times greater, respectively, among respondents who reported marijuana use (vs those who did not). In the linear regression models (adjusted), more days of marijuana use were associated with longer sleep duration, worse mental health, and worse general health.

Conclusion

Understanding the connection between substance use and health outcomes is needed to improve trajectories of substance use and recovery. Sleep duration is often underassessed among people who use substances. Expanding diagnostics and treatment options for those who use substances may result in lower levels of substance use and improved overall health.

Predictors of problematic adult alcohol, cannabis, and other substance use: A longitudinal study of two samples

This study examined whether a key set of adolescent and early adulthood risk factors predicts problematic alcohol, cannabis, and other substance use in established adulthood. Two independent samples from the Child Development Project (CDP; n = 585; 48% girls; 81% White, 17% Black, 2% other race/ethnicity) and Fast Track (FT; n = 463; 45% girls; 52% White, 43% Black, 5% other race/ethnicity) were recruited in childhood and followed through age 34 (CDP) or 32 (FT). Predictors of substance use were assessed in adolescence based on adolescent and parent reports and in early adulthood based on adult self-reports. Adults reported their own problematic substance use in established adulthood. In both samples, more risk factors from adolescence and early adulthood predicted problematic alcohol use in established adulthood (compared to problematic cannabis use and other substance use). Externalizing behaviors and prior substance use in early adulthood were consistent predictors of problematic alcohol and cannabis misuse in established adulthood across samples; other predictors were specific to the sample and type of substance misuse. Prevention efforts might benefit from tailoring to address risk factors for specific substances, but prioritizing prevention of externalizing behaviors holds promise for preventing both alcohol and cannabis misuse in established adulthood.

Early life adversity: Epigenetic regulation underlying drug addiction susceptibility

Drug addiction is a leading cause of disability worldwide, with more than 70,000 Americans dying from drug overdose in 2019 alone. While only a small percentage of chronic drug users escalate to drug addiction, little is understood on the precise mechanisms of this susceptibility. Early life adversity is causally relevant to adult psychiatric disease and may contribute to the risk of addiction. Here we review recent pre-clinical evidence showing that early life exposure to stress and/or drugs regulates changes in behavior, gene expression, and the epigenome that persist into adulthood. We summarize the major findings and gaps in the preclinical literature, highlighting studies that demonstrate the often profound differences between female and male subjects.

Risky Drinking in Adolescents and Emerging Adults: Differences between Individuals Using Alcohol Only versus Polysubstances

BACKGROUND

Factors related to risky drinking (e.g., motives, protective behavioral strategies [PBS]) may vary between youth who engage in polysubstance use compared to those who consume alcohol only. We examined differences in factors among youth who consume alcohol only compared to alcohol with other substances (i.e., polysubstance use), and correlates associated with risky drinking between the groups.

METHODS

Participants (N = 955; ages 16-24; 54.5% female) who reported recent risky drinking completed measures of alcohol/substance use, alcohol-related consequences, drinking motives, alcohol PBS, mental health symptoms, and emotion dysregulation. Participants were in the polysubstance group if they reported using at least one other substance (e.g., cannabis, stimulants) in addition to alcohol in the past three months. Chi-square and t-tests examined differences between the two groups and multiple regression analyses examined correlates of risky drinking.

RESULTS

Most participants (70.4%, n = 672) reported polysubstance use; these individuals engaged in riskier patterns of drinking, experienced more alcohol-related consequences, used fewer PBS, had stronger drinking motives (enhancement, social, coping), endorsed more mental health symptoms, and reported more emotion dysregulation. Regression models showed that emotion dysregulation significantly associated with risky drinking in the alcohol-only group; conformity and coping motives, alcohol PBS, and anxiety symptoms significantly associated with risky drinking in the polysubstance group.

CONCLUSIONS

Among risky drinking youth, results indicated youth engaging in polysubstance use have greater comorbidities and individual-level factors associated with risky drinking than youth who consume alcohol only. These findings may inform the tailoring of interventions for individuals who engage in risky drinking and polysubstance use.

Cannabis use prevalence among Baby Boomers before and after implementation of recreational retail sales in California

Background

As of 2021, 21 US states and territories allowed recreational cannabis use. Although previous research has identified an overall increase in prevalence of cannabis use after legalization, it has been less clear how this change will affect different parts of the population, including older adults, and specifically Baby Boomers, born 1946–1964, given their historically higher rates of use and a higher prevalence of comorbid conditions that could be either exacerbated or addressed by cannabis use. In this study we assessed whether implementation of recreational retail sales in California was associated with increased prevalence of cannabis use among Baby Boomers.

Methods

We conducted a retrospective study of cannabis use prevalence one year before and after the implementation of recreational retail sales in California using the California Health Interview Survey (CHIS), a statewide public health surveillance dataset.

Results

We found that cannabis use prevalence did not change among Baby Boomers but increased among non-Baby Boomers. Most of the factors found to be predictive of cannabis use in past research did not predict cannabis use among Baby Boomers.

Conclusions

Baby Boomers did not change their consumption of cannabis in the first year after opening the retail market, despite previous research suggesting that cannabis consumption increases with access, and most previously identified predictors of use did not identify people who use cannabis in this generation. Further research is needed to determine whether these effects persist over time.

Machine Learning Prediction of Comorbid Substance Use Disorders among People with Bipolar Disorder

Substance use disorder (SUD) is a common comorbidity in individuals with bipolar disorder (BD), and it is associated with a severe course of illness, making early identification of the risk factors for SUD in BD warranted. We aimed to identify, through machine-learning models, the factors associated with different types of SUD in BD. We recruited 508 individuals with BD from a specialized unit. Lifetime SUDs were defined according to the DSM criteria. Random forest (RF) models were trained to identify the presence of (i) any (SUD) in the total sample, (ii) alcohol use disorder (AUD) in the total sample, (iii) AUD co-occurrence with at least another SUD in the total sample (AUD+SUD), and (iv) any other SUD among BD patients with AUD. Relevant variables selected by the RFs were considered as independent variables in multiple logistic regressions to predict SUDs, adjusting for relevant covariates. AUD+SUD could be predicted in BD at an individual level with a sensitivity of 75% and a specificity of 75%. The presence of AUD+SUD was positively associated with having hypomania as the first affective episode (OR = 4.34 95% CI = 1.42-13.31), and the presence of hetero-aggressive behavior (OR = 3.15 95% CI = 1.48-6.74). Machine-learning models might be useful instruments to predict the risk of SUD in BD, but their efficacy is limited when considering socio-demographic or clinical factors alone.

Substance use disorder among adolescents before and during the COVID-19 pandemic in Uganda: Retrospective findings from a psychiatric ward registry

It has been reported that the COVID-19 pandemic has predisposed adolescents to risky behaviors such as substance use and subsequent substance use disorder (SUD). However, it is unknown how the pandemic has changed the prevalence of SUD among adolescents in Uganda. We aimed to determine the prevalence of SUD and associated factors among adolescents in southwestern Uganda. Retrospectively, psychiatry ward records from November 2018 to July 2021 were collected from the largest tertiary hospital in southwestern Uganda. A total of 441 adolescent records were included in the analysis, with a mean age was 17±1.88 years, and the majority were males (50.34%). The overall prevalence of SUD was 7.26% (5.90% and 9.80% before and during the pandemic). Despite a little rise in SUD (3.9% increment) during the COVID-19 pandemic, there was no statistical difference compared to before the pandemic. The likelihood of being diagnosed with SUD was more among older adolescents at any period. In addition, having a diagnosis of bipolar mood disorder reduced the likelihood of SUD during the pandemic. This study indicated no statistical change in the diagnosis of SUD among adolescents before and during the COVID-19 pandemic. As older-male adolescents (17 to 19 years) were at higher risk of SUD, there is a need for early intervention for this group.

Prevention of Alcohol Consumption Programs for Children and Youth: A Narrative and Critical Review of Recent Publications

Background

Youth substance use is a public health problem globally, where alcohol is one of the drugs most consumed by children, and youth prevention is the best intervention for drug abuse.

Objective

Review the latest evidence of alcohol use prevention programs in empirical research, oriented to all fields of action among children and youth.

Methods

A narrative and critical review was carried out within international databases (PsychInfo, Pubmed, Web of Science, and Scopus) in August 2021 and was limited to empirical studies that appeared in the last five years (2017-2021). A flow diagram was used according to the PRISMA statements. Empirical research articles in English with RCTs and quasi-experimental design that included alcohol, children, and young people up to 19 years of age (universal, selective, or indicated programs) were included. The authors examined the results and conceptual frameworks of the Prevention programs by fields of action.

Results

Twenty-two articles were found from four fields of action: school (16), family (2), community (2), and web-based (2), representing 16 alcohol prevention programs. School-based alcohol prevention programs are clinically relevant [Theory of Planned Behavior, Refuse, Remove, Reasons, Preventure, The GOOD Life, Mantente REAL, Motivational Interviewing (BIMI), Primavera, Fresh Start, Bridges/Puentes], they are effective in increasing attitudes and intentions toward alcohol prevention behavior, while decreasing social norms and acceptance of alcohol, reducing intoxication, and increasing perceptions with regards to the negative consequences of drinking.

Discussion

This narrative and critical review provides an updated synthesis of the evidence for prevention programs in the school, family, community, and web-based fields of action, where a more significant number of programs exist that are applied within schools and for which would have greater clinical relevance. However, the prevention programs utilized in the other fields of action require further investigation.

Prepulse inhibition can predict the motivational effects of cocaine in female mice exposed to maternal separation

The prepulse inhibition (PPI) of the startle response can identify the rodents that are more sensitive to the effects of cocaine. Mice with a lower PPI presented a higher vulnerability to the effects of cocaine and a higher susceptibility to developing a substance use disorder (SUD). Maternal separation with early weaning (MSEW) is a relevant animal model to induce motivational alterations throughout life. Nevertheless, only a few studies on females exist, even though they are more vulnerable to stress- and cocaine-related problems. Hence, the aim of the present study was to evaluate the ability of PPI to identify females with a greater vulnerability to the long-term consequences of early stress on the motivational effects of cocaine. Female mice underwent MSEW and were classified according to their high or low PPI. They were then assessed in the cocaine-induced locomotor sensitization test, the conditioned place preference paradigm or the operant self-administration paradigm. Additionally, they were also evaluated in the passive avoidance task, the tail-suspension and the splash tests. The results revealed that the females with lower PPI presented higher consequences of MSEW on the effects of cocaine and showed an increase in anhedonia-like behaviours. Our findings support that a PPI deficit could represent a biomarker of vulnerability to the effects of cocaine induced by MSEW.

Age of Onset and Its Related Factors in Cocaine or Methamphetamine Use in Adults from the United States: Results from NHANES 2005-2018

Cocaine and methamphetamine are widely used illicit psychostimulants worldwide, with steadily increasing global markets that may impact on the frequency of use. Importantly, their use typically begins in youth. This is a particular concern because there is a link between the early age of first substance use and severity of substance use disorder later in life. The aim of the present study was therefore to investigate trends in prevalence, frequency, and age of onset of cocaine or methamphetamine use between 2005 and 2018 in the United States, using the nationally representative NHANES datasets. Factors associated with the ages of cocaine or methamphetamine use onset were also identified. From 2005 to 2018, prevalence and frequencies of cocaine or methamphetamine use increased, while age of onset remained relatively stable (~20 years of age). Annual household income, use of other substances, and intravenous drug use were identified as factors associated with early onset cocaine or methamphetamine use. These factors have important implications toward developing new prevention programs to reduce psychostimulant use.

Sleep, psychiatric and socioeconomic factors associated with substance use in a large population sample: A cross-sectional study

Multiple elements modulate drug use, including sleep, which is increasingly being considered as an important contributor to substance use and abuse. The present study aimed to evaluate the association between sleep, psychiatric and socioeconomic/demographic factors and substance use in a large-scale representative sample from the city of São Paulo, Brazil. Data from the 2007 São Paulo Epidemiological Sleep Study (EPISONO) database were used. In the EPISONO study, volunteers underwent a polysomnographic exam and completed a series of questionnaires to assess objective and subjective sleep quality and associated comorbidities. Drug use was assessed using the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). Linear (univariate and multivariate) and logistic regressions were performed to identify factors associated with the use of the 4 most commonly used substances in the sample (tobacco, alcohol, cannabis and cocaine/crack). Structural equation models were used to establish theoretical networks to explain the relationship between sleep, psychiatric and socioeconomic factors and use of these substances. The logistic regression results showed that psychiatric symptoms, lower income, and poorer subjective sleep were the main factors associated with tobacco consumption; gender and occupational status with alcohol intake; age and occupation with cannabis use; and education with cocaine/crack use. The structural equation models partially supported these findings and identified significant effects of psychiatric symptoms on tobacco consumption, both directly and mediated by sleep. Our results reinforce previous findings concerning factors associated with generally misused substances and suggest that sleep should be considered as an important element in future substance use disorder studies.

The CAMP study: feasibility and clinical correlates of standardized assessments of substance use in a youth psychiatric inpatient sample

BACKGROUND

To determine: (a) the feasibility and acceptability of administering a standardized electronic assessment of substance use and other mental health concerns to youth admitted to an inpatient psychiatric unit, and (b) the prevalence and clinical correlates of substance use in this sample.

METHODS

The sample included 100 youth between the ages of 13 to 17 years admitted to an inpatient psychiatric unit in Ontario, Canada between September and November 2019 (78% response rate). Youth data were comprised of electronic self-reported assessments (during hospitalization and 6-months following) and chart reviews (99% consented; historical and prospective). Frontline staff completed a self-report survey assessing their perceptions of the need for standardized substance use assessments, training, and interventions on the unit (n = 38 Registered Nurses and Child and Youth Workers; 86% response rate). Analyses included descriptive statistics, correlations, regression, and qualitative content analysis.

RESULTS

Feasibility of standardized youth self-reported mental health and substance use assessments was evident by high response rates, little missing data, and variability in responses. 79% of youth had used at least one substance in their lifetime; 69% reported use in the last 3 months. Substance use was positively correlated with severity of psychiatric symptoms (τb 0.17 to 0.45) and number of psychiatric diagnoses (τb 0.17 to 0.54) at index. Based on prospective and retrospective data, substance use was also positively related to mental health symptom severity at follow-up and repeat mental health related hospital visits. Frontline staff reported a need for standardized assessment, training, and interventions on the unit, indicative of acceptability.

CONCLUSIONS

This study demonstrated the feasibility, acceptability and clinical importance of administering a standardized mental health and substance use assessment among youth experiencing psychiatric hospitalization.

Factors associated with crack-cocaine early initiation: a Brazilian multicenter study

BACKGROUND

Crack-cocaine dependence is a serious public health issue, related to several psychiatric and psychosocial problems. Crack-cocaine users are usually embedded in a context of great social vulnerability, often associated with violence, poverty, family conflict and easy and early access to alcohol, tobacco and other drugs.

METHODS

This cross-sectional study enrolled a consecutive sample of 577 patients admitted to 20 therapeutic communities located in Southern Brazil, between September 2012 and September 2013. A structured interview assessed life-time exposure to risk and protective factors for drug use, such as parental monitoring in childhood, deviant behaviors and peer pressure.

RESULTS

Presence of family conflict (p = 0.002), maltreatment (p = 0.016), and deviant behavior prior to age 15 in a bivariate analysis predicted an earlier age of crack-cocaine initiation, whereas adolescents experiencing parental monitoring during adolescence started use later (p < 0.001). In the multivariate model, perceptions related to ease of access of illicit drugs (marijuana: p = 0.028, 95% CI = - 3.81, - 0.22; crack-cocaine: p < 0.001, 95% CI = - 7.40, - 4.90), and deviant behavior (threatening someone with a gun: p = 0.028, 95% CI = - 2.57, - 0.14) remained independent predictors of early age of crack-cocaine initiation.

CONCLUSIONS

Early onset of crack-cocaine use seems to be associated with exposure to family conflict, easy access to drugs and deviant behavior. Treatment and preventive programs should take these factors into account when designing and implementing community interventions.

The Influence of Cannabis and Nicotine Co-use on Neuromaturation: A Systematic Review of Adolescent and Young Adult Studies

Accumulating evidence suggests that the use of cannabis and nicotine and tobacco-related products (NTPs) during the adolescent years has harmful effects on the developing brain. Yet, few studies have focused on the developing brain as it relates to the co-administration of cannabis and NTPs, despite the high prevalence rates of co-use in adolescence. This review aims to synthesize the existing literature on neurocognitive, structural neuroimaging, and functional neuroimaging outcomes associated with cannabis and NTP co-use. A systematic search of peer-reviewed articles resulted in a pool of 1107 articles. Inclusion criteria were 1) data-based study; 2) age range of 13 to 35 years or, for preclinical studies, nonadult subjects; 3) cannabis and NTP group jointly considered; and 4) neurocognitive, structural neuroimaging, or functional neuroimaging as an outcome measure. Twelve studies met inclusion criteria. Consistent with the literature, cannabis and nicotine were found to have independent effects on cognition. The available research on the co-use of cannabis and NTPs demonstrates a potential nicotine-related masking effect on cognitive deficits associated with cannabis use, yet there is little research on co-use and associations with neuroimaging indices. In neuroimaging studies, there is preliminary evidence for hippocampal volume differences in co-users and a lack of evidence for co-use differences related to nucleus accumbens activity during reward processing. Notably, no structural neuroimaging studies were found to examine the combined effects of nicotine and cannabis in adolescent-only populations. Further research, including longitudinal studies, is warranted to investigate the influence of cannabis and NTP co-use on maturation.

Detachment, peer pressure, and age of first substance use as gateways to later substance use

BACKGROUND

Prior research using psychosocial developmental models have identified emotional detachment from family and susceptibility to peer pressure as predictors of adolescent substance use. Despite mixed support for the gateway hypothesis, less is known about how these psychosocial developmental factors facilitate adolescent substance use. The purpose of this study was to examine how age of first substance use, emotional detachment from parents, and susceptibility to peer pressure influence the progression from alcohol, marijuana, and tobacco use to other illicit substance use (e.g., cocaine, hallucinogens).

METHOD

Data (N = 5792) were collected from high school students across seven semesters. Latent growth curve modeling was used to examine how age of first use of alcohol, marijuana, and tobacco predicted initial levels and changes in emotional detachment, peer pressure, and other illicit substance use.

RESULTS

Earlier age of first use of alcohol, marijuana, and tobacco predicted detachment, peer pressure, and a greater likelihood of initial use of other illicit substances. More initial emotional detachment was associated with increases in other illicit substance use. Earlier ages of first use of alcohol, marijuana, and tobacco had indirect effects on initial use of other illicit substances through initial emotional detachment.

CONCLUSION

Emotional detachment from parents and peer pressure impact the likelihood of other illicit substance use across the high school years. Prevention programs may benefit by focusing on delaying the onset of first use of substance use and by preventing emotional detachment from parents and peer pressure.

Prevalence and Sociodemographic Determinants of Substance Use in Turkey

BACKGROUND

Substance use disorder is a serious public health problem. It is essential to know who is prone to substance use in order to adopt appropriate measures.

OBJECTIVES

This study aims to determine the use prevalence ratios of substance use (tobacco, alcohol, cannabis, cocaine, synthetic cannabinoids, ecstasy, and others) in a large-scale sample of a general population. It also intends to examine related sociodemographic factors.

METHODS

This study is based on a cross-sectional survey conducted with a nationally representative sample of 24,494 individuals in face-to-face interviews conducted by a trained team of 125 clinical psychologists.

RESULTS

Lifetime prevalence of single substance use and polysubstance use are 4.5 and 2.6%, respectively (nicotine and alcohol excluded). Age, gender, education level, and marital status are important sociodemographic determinants for other substance use. Similarly, smoking and alcohol consumption are important determinants for other substance use. The multinomial regression analysis results showed that compared with adults aged 39 years and older, early-emerging adults (aged 18-23 years), late-emerging adults (aged 24-29 years), and young adults (aged 30-39 years) are more likely to turn to single substance use and polysubstance use.

CONCLUSION

Tobacco, alcohol, and other substance use are serious health concerns in Turkey. Sociodemographic status is an important determinant of several aspects of tobacco, alcohol, and other substance use and, therefore, should be examined thoroughly to be able to develop effective protective and preventive strategies.

Patterns of substance use among adolescents: A systematic review

PURPOSE

This review characterizes empirically derived patterns of multiple (multi-) substance use among adolescents. A secondary objective was to examine the extent to which mental health symptomatology was included in the empirical analyses examining substance use patterns.

METHODS

Eligible studies included those that used cluster-based approaches, included the assessment of at least two different substances, and were based on study samples with mean ages between 11 and 18 years. 4665 records were screened including 461 studies for full-text screening.

RESULTS

70 studies were included with common clusters being: low use, single or dual substance use, moderate general multi-use, and high multi-use. The most common patterns of single or multi-substance use were: alcohol only, alcohol with cannabis and/or tobacco, and use of alcohol, tobacco, and cannabis with and without other drugs. Lower socioeconomic status, older age, and male gender were consistent predictors of multi-use clusters. Only 37 % of studies compared differences in levels of mental health across clusters with symptoms consistently associated with a greater likelihood of multi-use. Only 29 % of studies included mental health indicators in cluster-based analyses, with over half identifying distinct mental health and substance use clusters. Fit indices in cluster analyses and measurement properties of substance use were heterogeneous and inconsistently reported across studies.

CONCLUSIONS

Distinct patterns of substance use were derived but methodological differences prevented direct comparison and reduced capacity to generalize across studies. There is a need to establish standardized methodological approaches to identify robust patterns of substance use to enhance etiological, prognostic, and intervention research.

Adolescent Substance Use and the Brain: Behavioral, Cognitive and Neuroimaging Correlates

Adolescence is an important ontogenetic period that is characterized by behaviors such as enhanced novelty-seeking, impulsivity, and reward preference, which can give rise to an increased risk for substance use. While substance use rates in adolescence are generally on a decline, the current rates combined with emerging trends, such as increases in e-cigarette use, remain a significant public health concern. In this review, we focus on the neurobiological divergences associated with adolescent substance use, derived from a cross-sectional, retrospective, and longitudinal studies, and highlight how the use of these substances during adolescence may relate to behavioral and neuroimaging-based outcomes. Identifying and understanding the associations between adolescent substance use and changes in cognition, mental health, and future substance use risk may assist our understanding of the consequences of drug exposure during this critical window.

Genetic liability to ADHD and substance use disorders in individuals with ADHD

AIMS

1) To investigate whether genetic liability to attention-deficit/hyperactivity disorder (ADHD), indexed by polygenic risk scores for ADHD (PRS-ADHD), is associated with substance use disorders (SUD) in individuals with ADHD. 2) To investigate whether other individual- or family-related risk factors for SUD could mediate or confound this association.

DESIGN

Population-based cohort study SETTING AND PARTICIPANTS: ADHD cases in the iPSYCH sample (a Danish case-cohort sample of genotyped cases with specific mental disorders), born in Denmark between 1981 and 2003 (N = 13 116). Register-based information on hospital diagnoses of SUD was available until December 31, 2016.

MEASUREMENTS

We estimated odds ratios (ORs) with 95% confidence intervals (CIs) for any SUD as well as for different SUD types (alcohol, cannabis, and other illicit drugs) and severities (use, abuse, and addiction), with effect sizes corresponding to a comparison of the highest PRS-ADHD decile to the lowest.

FINDINGS

PRS-ADHD were associated with any SUD (OR = 1.30, 95% CI: 1.11-1.51). Estimates were similar across different types and severity levels of SUD. Other risk factors for SUD (male sex, age at ADHD diagnosis, comorbid conduct problems, and parental factors including SUD, mental disorders, and socio-economic status) were independently associated with increased risk of SUD. PRS-ADHD explained a minor proportion of the variance in SUD (0.2% on the liability scale) compared to the other risk factors. The association between PRS-ADHD and any SUD was slightly attenuated (OR = 1.21, 95% CI: 1.03-1.41) after adjusting for the other risk factors for SUD. Furthermore, associations were nominally higher in females than in males (ORfemales  = 1.59, 95% CI: 1.19-2.12, ORmales  = 1.18, 95% CI: 0.98-1.42).

CONCLUSIONS

A higher genetic liability to attention-deficit/hyperactivity disorder appears to be associated with higher risks of substance use disorders in individuals with attention-deficit/hyperactivity disorder.

Deconstructing the neurobiology of cannabis use disorder

There have been dramatic changes worldwide in the attitudes toward and consumption of recreational and medical cannabis. Cannabinoid receptors, which mediate the actions of cannabis, are abundantly expressed in brain regions known to mediate neural processes underlying reward, cognition, emotional regulation and stress responsivity relevant to addiction vulnerability. Despite debates regarding potential pathological consequences of cannabis use, cannabis use disorder is a clinical diagnosis with high prevalence in the general population and that often has its genesis in adolescence and in vulnerable individuals associated with psychiatric comorbidity, genetic and environmental factors. Integrated information from human and animal studies is beginning to expand insights regarding neurobiological systems associated with cannabis use disorder, which often share common neural characteristics with other substance use disorders, that could inform prevention and treatment strategies.

Escalation of drug use in persons dually diagnosed with opioid and cocaine dependence: Gender comparison and dimensional predictors

BACKGROUND

Persons dually diagnosed with opioid and cocaine dependence (OD + CD) present a clinical challenge and are at risk of morbidity and mortality. The time of escalation of heroin and cocaine exposure in persons with OD + CD remain understudied, and the influence of gender and other variables have not been examined. This observational study focused on the time of escalation of heroin and cocaine in volunteers with OD + CD, examining gender and exposure to other drugs (e.g., cannabis or alcohol) as predictors. Ages of first use and of onset of heaviest use of each drug were collected (in whole years). Time of escalation was defined as the interval between age of first use and onset of heaviest use.

VOLUNTEERS

sequentially ascertained adult volunteers recruited from the New York Metropolitan area, of which n = 297 were diagnosed with OD + CD.

METHODS

Instruments administered were the SCID-I diagnostic interview (DSM-IV criteria), BIS-11 impulsiveness scale, and KMSK scales, dimensional measures of maximal exposure to specific drugs.

RESULTS

In volunteers with OD + CD, ages of onset of heaviest use of cannabis (median age = 15) and alcohol (median age = 19) were in adolescence or emerging adulthood and preceded those for heroin and cocaine (median ages = 26 and 25, respectively). Maximal levels of cannabis and alcohol exposure were high, in volunteers with OD + CD. In adjusted Cox regressions, gender was not a significant predictor of time of heroin or cocaine escalation. However, more rapid time of alcohol escalation was a predictor of more rapid time of escalation of both heroin and cocaine, in volunteers with OD + CD.

An Investigation of Neurochemical Changes in Chronic Cannabis Users

With the legalization of recreational cannabis (CB) the characterization of how it may impact brain chemistry is essential. Magnetic resonance spectroscopy (MRS) was used to examine neurometabolite concentrations in the dorsal anterior cingulate (dACC) in chronic CB users (N = 26; 10 females) and controls (N = 24; 10 females). The concentrations of glutamate (Glu), total creatine (tCr), choline (Cho), total N-acetylaspartate (tNAA), and myo-inositol (mI) were estimated using LCModel. The ANCOVAs failed to show significant differences between controls and CB users. Regression analyses were then performed on the CB group to model each neurometabolite to determine its relationship to monthly CB use, sex, the interaction between CB use and sex. tCr was found to be predicted by both monthly CB use and sex. While the regression model was not significant the relationship between monthly CB use and Glu appears to be modulated by sex with the effect of monthly use (dose) being stronger in males. tNAA failed to show an effect of CB use but did reveal an effect of sex with females showing larger tNAA levels. Although the results presented are preliminary due to the small sample size they do guide future research. The results presented provide direction for further studies as they suggest that dose may significantly influence the observance of CB effects and that those effects may be modulated by sex. Studies with significantly larger sample sizes designed specifically to examine individuals with varying usage as well as sex effects are necessary.

Cessation of cannabis use: A retrospective cohort study

Given recent findings of a worldwide increase in cannabis use, a better understanding of the factors associated with cannabis use is needed. Most previous studies have focused on factors that predict the initiation of cannabis use, but less is known about factors associated with cessation. The present study is a retrospective cohort study of 6467 current or former cannabis users aged 15 to 46 years (mean age 22.5, SD = 4.8). Data were collected via an online survey advertised in social media. All analyzed participants had used cannabis for at least three years. Approximately 16.3% (n = 1055) of the sample population had not used cannabis in the previous 12 months and were classified as quitters; all others (83.7%, n = 5412) reported at least monthly use. Cessation was predicted by older current age, being female, nonmigrant status, less sensation seeking, using psychological treatment, more peer cannabis use during youth and more negative first experience with cannabis. An additional predictor was a nonincrease in the frequency of cannabis use in the first three years of use, indicating that trajectories of cannabis use are set early on and might be used to identify risk groups for early preventive measures.

Cue-Elicited Anxiety and Alcohol Craving as Indicators of the Validity of ALCO-VR Software: A Virtual Reality Study

BACKGROUND

This study is part of a larger project aiming to develop a virtual reality (VR) software to be implemented as a clinical tool for patients diagnosed with alcohol use disorder (AUD). The study is based on previous research in which we identified factors that elicit craving for alcohol in a sample of AUD patients, and which led to the development of a virtual reality software to be used in cue exposure treatments of alcohol use disorder (ALCO-VR). The main objective of this study was to test the effectiveness of ALCO-VR to elicit cue-induced craving and anxiety responses among social drinkers (SD) and AUD patients. Our secondary objective was to explore which responses (cue-induced craving or anxiety) can best differentiate between AUD patients and the SD group.

METHOD

Twenty-seven individuals (13 AUD patients and 14 SD) participated in this study after giving written informed consent. Their anxiety and alcohol craving levels were measured by different instruments at different stages of the procedure. The VR equipment consisted of Oculus Rift technology, and the software consisted of the ALCO-VR platform.

RESULTS

Our data indicate that the ALCO-VR software can elicit responses of anxiety and alcohol craving, especially in the group of AUD patients. The cue-induced anxiety response differentiated AUD patients and the SD group better than the cue-induced craving response.

CONCLUSIONS

The general interest in applying new technologies to the assessment and treatment of mental health disorders has led to the development of immersive real-life simulations based on the advantages of VR technology. Our study concluded that the ALCO-VR software can elicit anxiety and craving responses and that cue-induced anxiety responses can distinguish between AUD and SD groups better than cue-induced craving. The data on craving and anxiety were assessed consistently by different instruments. In addition, we consider that ALCO-VR is able to ecologically assess cue-induced anxiety and alcohol craving levels during exposure to VR alcohol-related environments.

Substance Use Among College Students

U.S. college campuses have witnessed a national increase of cannabis, stimulant, and illicit drug use among students over the past decade. Substance use among college students is associated with numerous negative outcomes including lower academic performance, a higher probability of unemployment after graduation, and an increased risk of committing and experiencing sexual assault. Several risk factors for substance use are specific to this population, including an affiliation with Greek life, perception of high academic pressure, and peer pressure. Students with problematic substance use also face unique challenges in planning treatment, including aspects of confidentiality, financial constraints, and potential university oversight and involvement. This article highlights the prevalence of substance use on college campuses and describes some of the specific challenges and approaches to treatment in this population, including screening tests and interventions for specific substances used on college campuses and evidence-based substance use programming for college students.