Marijuana Use, Recent Marijuana Initiation, and Progression to Marijuana Use Disorder Among Young Male and Female Adolescents Aged 12-14 Living in US Households

A Statewide Consultation Helpline for Rapid Linkage to Services for Youths With Opioid Use Disorder and Other Substance Use

OBJECTIVE

The authors examined the initial implementation of the Indiana Adolescent Addiction Access (AAA) program, modeled on the widely disseminated Child Psychiatry Access Program framework. The AAA program developed a statewide consultation helpline to connect health care providers with adolescent addiction specialists.

METHODS

The AAA line was staffed by a coordinator, who fielded initial questions, and on-call clinical specialists (social workers, nurse practitioners, psychiatrists, and psychologists), who were paged to complete telephone consultations and provide care recommendations. When necessary, AAA providers offered urgent clinical assessments and initiated treatment. Descriptive analyses were performed for key variables over the first 21 months of AAA operations.

RESULTS

From July 2021 to March 2023, a total of 125 consultations were completed. Most callers were health care providers (71%) or parents (27%). Calls pertained to youths ages 10-18 years (mean±SD age=16.4±1.3; 62% of callers were male, 84% White, and 11% Black), with concerns around cannabis (63%), opioids (38%), and other substances. About 26% of calls related to an overdose, and 41% of cases were rated as severe. Recommendations included starting new medications (17%) or outpatient therapy (86%), and 17% of consultations resulted in urgent evaluations.

CONCLUSIONS

The Indiana AAA program helps overcome key barriers to adolescent substance use treatment. Increasing the capacity to initiate medication for opioid use disorder and other treatment rapidly through consultation and direct care is a promising, scalable approach for preventing overdose deaths among youths.

Initial Validation of a Computerized Adaptive Test for Substance Use Disorder Identification in Adolescents

PURPOSE

Computerized adaptive tests (CATs) are highly efficient assessment tools that couple low patient and clinician time burden with high diagnostic accuracy. A CAT for substance use disorders (CAT-SUD-E) has been validated in adult populations but has yet to be tested in adolescents. The purpose of this study was to perform initial evaluation of the K-CAT-SUD-E (i.e., Kiddy-CAT-SUD-E) in an adolescent sample compared to a gold-standard diagnostic interview.

METHODS

Adolescents (N = 156; aged 11-17) with diverse substance use histories completed the K-CAT-SUD-E electronically and the substance related disorders portion of a clinician-conducted diagnostic interview (K-SADS) via tele-videoconferencing platform. The K-CAT-SUD-E assessed both current and lifetime overall SUD and substance-specific diagnoses for nine substance classes.

RESULTS

Using the K-CAT-SUD-E continuous severity score and diagnoses to predict the presence of any K-SADS SUD diagnosis, the classification accuracy ranged from excellent for current SUD (AUC = 0.89, 95% CI = 0.81, 0.95) to outstanding (AUC = 0.93, 95% CI = 0.82, 0.97) for lifetime SUD. Regarding current substance-specific diagnoses, the classification accuracy was excellent for alcohol (AUC = 0.82), cannabis (AUC = 0.83) and nicotine/tobacco (AUC = 0.90). For lifetime substance-specific diagnoses, the classification accuracy ranged from excellent (e.g., opioids, AUC = 0.84) to outstanding (e.g., stimulants, AUC = 0.96). K-CAT-SUD-E median completion time was 4 min 22 s compared to 45 min for the K-SADS.

CONCLUSIONS

This study provides initial support for the K-CAT-SUD-E as a feasible accurate diagnostic tool for assessing SUDs in adolescents. Future studies should further validate the K-CAT-SUD-E in a larger sample of adolescents and examine its acceptability, feasibility, and scalability in youth-serving settings.

Factors associated with cannabis use in early adolescence

INTRODUCTION

We examined whether factors identified as associated with cannabis use at age 14 to 16 years are also associated with ever use at age 12.

METHODS

Participants in the AdoQuest study (n = 1852) were recruited in 2005 from among Grade 5 students in 29 French-language elementary schools in Montréal, Canada. Self-report data were collected from participants in Grade 5 (spring 2005) and 6 (fall 2005 and spring 2006) and from parents/guardians in 2006/07. Inclusion in the analytic sample (n = 1076; mean age [SD] = 10.7 [0.5]) required data from participant and parental questionnaires and data on cannabis use in Grade 6 (mean age [SD] = 11.7 [0.4]). We estimated associations between ever use at age 12 with 33 potential correlates, separately in unadjusted and adjusted logistic regression models.

RESULTS

Fifty-three participants (4.9%) reported ever use at age 12. Factors associated with higher odds of ever use included older age, identifying as male, lower household income, more weekly spending money, ever tried cigarettes or other tobacco products, ever drank alcohol or binge drank, ever gambled, friends or siblings smoke cigarettes, greater nicotine dependence, higher depressive symptoms and greater impulsivity. Protective factors included higher levels of parental/guardian monitoring and greater self-esteem and school connectedness.

CONCLUSION

Factors associated with cannabis use at later ages are also associated with ever use at age 12. Our findings suggest that surveillance for and interventions to prevent cannabis use are warranted before age 12.

Multilevel Risk and Protective Factors for Frequent and Nonfrequent Past-30-Day Marijuana Use: Findings From a Representative Sample of High School Youth

OBJECTIVE

Research has identified many factors associated with past-30-day (P30D) marijuana use among youth but has not assessed factors that may differentiate youth who use frequently from youth who do not. We took a multilevel approach to identify and compare risk and protective factors associated with frequent and nonfrequent P30D marijuana use among high school students.

METHOD

Individual-level data were obtained from the 2019 Nevada Youth Risk Behavior Survey (completed by 4,980 high school youth from 99 schools); school-level data were obtained from the state's Department of Education. A multinomial, multilevel model was used to estimate the association between risk and protective factors at the individual and school levels and a three-level frequency of use outcome: no P30D use (0 times), nonfrequent P30D use (1-19 times), and frequent P30D use (≥20 times).

RESULTS

At the individual level, other P30D substance use, exposure to adverse childhood experiences (ACEs), perceived ease of access, and perceived risk were associated with both frequent and nonfrequent use, but the relationships were generally stronger for frequent use. P30D nonprescription drug use and school connectedness were associated with frequent use only. At the school level, number of students with individualized education programs, number of incidents involving possession of controlled substances, and school type were associated with frequent use only.

CONCLUSIONS

Individual and school-based interventions designed to address the factors uniquely or strongly associated with frequent marijuana use may prevent escalation from occasional use to more frequent use among high school youth.

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.

Gender discrimination and illicit drug use among African American and European American adolescents and emerging adults

Objective: The present study aimed to characterize the association of perceived gender discrimination and illicit drug use among a sample of African American (AA) and European American (EA) adolescent girls and young women. Method: Data were drawn from a high-risk family study of alcohol use disorder of mothers and their offspring (N = 735). Multinomial regressions were used to examine whether experience of offspring and maternal gender discrimination were associated with offspring illicit drug use (cannabis, cocaine, ecstasy, PCP, opiates, hallucinogens, solvents, sedatives, or inhalants). Outcomes included offspring age of drug use initiation (age ≤ 14) and lifetime heavy drug use (≥ 50 times) of 1 or more illicit substances. Interactions between race and offspring gender discrimination were modeled to assess for race differences. Results: Results revealed that gender discrimination was associated with a greater likelihood of offspring early initiation (relative risk ratio [RRR] = 2.57, 95% CI [1.31, 5.03]) versus later initiation (RRR = 1.33, 95% CI [0.80, 2.24]). Offspring gender discrimination was associated with offspring heavy drug use (RRR = 2.09, 95% CI [1.07, 4.06]) and not associated with moderate/light use (RRR = 1.44, 95% CI [0.86, 2.42]), but post hoc tests revealed no significant group differences. Conclusions: Findings suggest that perceived offspring gender discrimination is associated with early drug use initiation. Gender discrimination, particularly at an early age, has a potential to cause harm, including drug use. Implementation of policies that foster environments that eliminate gender bias and discrimination at an early age should be prioritized. Gender-responsive treatment merits consideration by substance use treatment providers. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Association Between the Use of Cannabis and Physical Violence in Youths: A Meta-Analytical Investigation

OBJECTIVE

The aim of this meta-analysis was to investigate the extent to which cannabis use among youths is associated with the risk of perpetrating physical violence.

METHODS

Searches were conducted in PubMed, PsycINFO, Web of Science, and Google Scholar for articles published from the inception of each database to July 2019. All studies that examined both cannabis use and the perpetration of physical violence in a sample of youths and young adults <30 years old were included. The meta-analysis was performed with a random-effects model. Risk of publication bias was assessed with Egger's test. Guidelines from the Meta-Analysis of Observational Studies in Epidemiology were followed.

RESULTS

After screening 11,348 potential studies, 30 study arms were included, yielding a total of 296,815 adolescents and young adults. The odds ratio for the pooled studies was 2.11 (95% CI=1.64, 2.72). The pooled odds ratios were 2.15 (95% CI=1.58, 2.94) and 2.02 (95% CI=1.26, 3.23) for the cross-sectional and longitudinal studies, respectively. Preliminary evidence suggests that the risk of violence was higher for persistent heavy users (odds ratio=2.81, 95% CI=1.68, 4.74) compared with past-year users (odds ratio=2.05, 95% CI=1.5, 2.8) and lifetime users (odds ratio=1.94, 95% CI=1.29, 2.93). The odds ratio for unadjusted studies was 2.62 (95% CI=1.89, 3.62), and for studies using odds ratios adjusted for potential confounding factors, 2.01 (95% CI=1.57, 2.56).

CONCLUSIONS

These results demonstrate a moderate association between cannabis use and physical violence, which remained significant regardless of study design and adjustment for confounding factors (i.e., socioeconomic factors, other substance use). Cannabis use in this population is a risk factor for violence.

Socioeconomic Status, Parental Education, School Connectedness and Individual Socio-Cultural Resources in Vulnerability for Drug Use among Students

Background and Aims: Families who live in a disadvantaged socioeconomic situation frequently face substandard housing, unsafe neighborhoods, inadequate schools and more stress in their daily lives than more affluent families, with a host of psychological and developmental consequences that can hinder their children’s development in many ways. However, the measurement of socioeconomic status among youth and its link with different forms of illicit substance use is challenging and still unclear. This paper extends existing research on the relationship between socioeconomic status and illicit drug use among adolescents by focusing on three different patterns of use (experimental, episodic and frequent) and making use of two indicators to improve the measurement of individual socioeconomic characteristics in a big sample of European students. Methods: Data were drawn from the European school Survey Project on Alcohol and other Drugs (ESPAD), which, since 1995, collects comparable data among 15-to-16-year-old students to monitor trends in drug use and other risk behaviors across Europe. The sample comes from 28 countries that participated in the 2015 data collection. The consumption of cannabis, cocaine and heroin are considered, and the related patterns are identified based on the frequency of use. Family characteristics at student level are defined through two dimensions: parental educational level and perceived socioeconomic status. Multivariate multilevel mixed-effects logistic regression was performed in order to measure the association between individual characteristics and vulnerability for drug use. Results: Some patterns of use, episodic and frequent in particular, were found strongly associated with a lower socioeconomic status and lower parental education. Conclusions: Our results suggest that drug policies should be combined with actions aimed at removing barriers to social inclusion that are attributable to the socioeconomic background of adolescents.

Marijuana-derived cannabinoids inhibit uterine endometrial stromal cell decidualization and compromise trophoblast-endometrium cross-talk

Marijuana (cannabis) use by pregnant women in the United States is increasing and there is a dire need to understand the beneficial or harmful effects of cannabis during pregnancy. Uterine endometrial stromal cells are fibroblast-like cells that differentiate into secretory cells, a process called decidualization, to create a microenvironment conducive for placenta formation and early embryonic growth. In this study, using model human cell lines, we for the first time demonstrate that Δ9-tetrahydrocannabinol (THC), cannabidiol (CBD) and cannabinol (CBN) inhibit endometrial stromal cell decidualization and have adverse effects on trophoblast-endometrium cross-talk.

Higher average potency across the United States is associated with progression to first cannabis use disorder symptom

OBJECTIVE

To determine if higher potency cannabis is associated with earlier progression to regular cannabis use, daily cannabis use, and cannabis use disorder symptom onset.

METHODS

Data sources were the Michigan Longitudinal Study, an ongoing prospective, high-risk family study investigating the course and predictors for substance use disorders among youth beginning prior to school entry and time-parallel national average trends in delta-9-tetrahydrocannabinol (i.e., psychoactive compound in cannabis). The national average trends in delta-9-tetrahydrocannabinol were used to estimate potency level for the individual. Only cannabis users were included in analyses (n = 527).

RESULTS

Cox regression showed an increased risk of progression from cannabis initiation to cannabis use disorder symptom onset by 1.41 times (p < .001) for each unit increase in national average delta-9-tetrahydrocannabinol as compared to those not endorsing CUD symptom onset, adjusting for sex, regular use, and cohort effects. Accounting for regular use, individuals initiating cannabis at national average 4.9% delta-9-tetrahydrocannabinol were at 1.88 times (p = .012) higher risk for cannabis use disorder symptom onset within one year compared to those who did not endorse CUD symptom onset, while those initiating cannabis at national average 12.3% delta-9-tetrahydrocannabinol were at 4.85 times (p = .012) higher risk within one year.

CONCLUSIONS

This study provides prospective evidence suggesting higher potency cannabis, on average in the U.S., increases risk for onset of first cannabis use disorder symptom. Development of guidelines regarding cannabis potency is critical for reducing the costs associated with negative health outcomes.