Disposable E-Cigarette Use and Subsequent Use Patterns in Adolescents and Young Adults.

BACKGROUND AND OBJECTIVES: Disposable electronic cigarettes (e-cigarettes) are widely used by adolescents and young adults (AYAs). Whether using disposable devices is associated with future e-cigarette use patterns is unknown but important for informing e-cigarette regulation. METHODS: Prospective longitudinal study combining data from adolescent (14-17 years) and young adult (21-24 years) cohorts from Southern California surveyed at baseline and approximately 8-month follow-up during 2021 to 2022. The analyses included AYAs who used e-cigarettes in the past 30 days at baseline and had exposure and outcome data (N = 403; adolescent n = 124, young adult n = 279). RESULTS: In the pooled sample of AYAs who used e-cigarettes at baseline (57.2% cis-gender female, 56.2% Hispanic), 278 (69.0%) reported past 30-day disposable e-cigarette use, and 125 (31.0%) used only nondisposable e-cigarettes. Baseline use of disposable (versus only nondisposable) devices was associated with higher odds of continued e-cigarette use (adjusted odds ratio = 1.92; 95% confidence interval = 1.09-3.42) and a greater number of times used e-cigarettes per day at follow-up (adjusted incidence rate ratio = 1.29; 95% confidence interval = 1.02-1.63). In supplemental analyses, disposable e-cigarette use was associated with greater odds of no changes (versus reductions) in e-cigarette use frequency and puffs per episode from baseline to follow-up but was not associated with increases in use frequency and intensity. No differences in e-cigarette use outcomes were found between those with poly-device (disposable and nondisposable) versus only disposable device use. CONCLUSIONS: Use of disposable e-cigarette devices among AYAs may be associated with higher risks for persistent e-cigarette use patterns, which should be considered in tobacco product regulation designed to protect AYAs.

Detection of vaping, cannabis use, and hazardous prescription opioid use among adolescents.

There has been a global surge in adolescents' use of electronic nicotine delivery systems (vaping), cannabis (vaped and edible), and prescription opioids, collectively termed ECPO. The nature of ECPO use can make it difficult to detect due to few obvious immediate physical and behavioural signs, as well as subtle long-term effects that allow adolescents to transition from initial exploration into hazardous ECPO use without easy detection by care providers. Here, we address the nature of the presentation of ECPO use in adolescents (roughly age 13-18 years), including challenges in detecting use and related complications, which affect screening, prevention, and intervention. We begin by reviewing empirical data on these difficult to detect effects in adolescents, including acute effects at cellular and neural levels and long-term neurocognitive and developmental changes that precede outwardly detectable physical signs. We then provide concrete approaches for providers to screen for ECPO use in adolescents even in the absence of overt physical and behavioural symptoms. Finally, we conclude with direct practice recommendations for prevention and intervention.

Evaluating Providers' Prescription Opioid Instructions to Pediatric Patients.

Receiving an opioid prescription during childhood increases the risk of hazardous prescription opioid (PO) use during emerging adulthood. Instruction on how to safely use POs plays an essential role in pediatric patients' capacity to utilize as well as to discontinue POs appropriately. This study aimed to evaluate pediatric PO label instructions provided to a large sample of pediatric outpatients. Data were extracted from the electronic healthcare records system identifying pediatric patients who received a PO between 2016 and 2019 from pediatric outpatient medical clinics were affiliated with a northwestern United States medical center and children's hospital. Pediatric patients (n = 12,613) between 0−17 years old who received a PO during outpatient care were included. Patients with chronic health conditions (e.g., cancer) or who received their PO from an inpatient medical setting were excluded. Patient demographics, medication instructions, associated diagnoses, and other prescription information (e.g., name of medication, dose, and quantity dispensed) were examined using automated text classification. Many label instructions did not include any indication/reason for use (20.8%). Virtually none of the POs (>99%) included instructions for how to reduce/wean off POs, contact information for questions about the POs, and/or instructions around how to dispose of the POs. Efforts are needed to ensure that pediatric PO instructions contain essential elements to improve comprehension of when and how to use POs for pediatric patients.

Correspondence Between Perceived Pubertal Development and Hormone Levels in 9-10 Year-Olds From the Adolescent Brain Cognitive Development Study.

Aim: To examine individual variability between perceived physical features and hormones of pubertal maturation in 9-10-year-old children as a function of sociodemographic characteristics. Methods: Cross-sectional metrics of puberty were utilized from the baseline assessment of the Adolescent Brain Cognitive Development (ABCD) Study-a multi-site sample of 9-10 year-olds (n = 11,875)-and included perceived physical features via the pubertal development scale (PDS) and child salivary hormone levels (dehydroepiandrosterone and testosterone in all, and estradiol in females). Multi-level models examined the relationships among sociodemographic measures, physical features, and hormone levels. A group factor analysis (GFA) was implemented to extract latent variables of pubertal maturation that integrated both measures of perceived physical features and hormone levels. Results: PDS summary scores indicated more males (70%) than females (31%) were prepubertal. Perceived physical features and hormone levels were significantly associated with child's weight status and income, such that more mature scores were observed among children that were overweight/obese or from households with low-income. Results from the GFA identified two latent factors that described individual differences in pubertal maturation among both females and males, with factor 1 driven by higher hormone levels, and factor 2 driven by perceived physical maturation. The correspondence between latent factor 1 scores (hormones) and latent factor 2 scores (perceived physical maturation) revealed synchronous and asynchronous relationships between hormones and concomitant physical features in this large young adolescent sample. Conclusions: Sociodemographic measures were associated with both objective hormone and self-report physical measures of pubertal maturation in a large, diverse sample of 9-10 year-olds. The latent variables of pubertal maturation described a complex interplay between perceived physical changes and hormone levels that hallmark sexual maturation, which future studies can examine in relation to trajectories of brain maturation, risk/resilience to substance use, and other mental health outcomes.

Recent tobacco use has widespread associations with adolescent white matter microstructure.

IMPORTANCE: Given the prevalence of alcohol, cannabis, and tobacco use during adolescence, it is important to explore the relative relationship of these three substances with brain structure. OBJECTIVE: To determine associations between recent alcohol, cannabis, and tobacco use and white and gray matter in a large sample of adolescents. DESIGN, SETTING, AND PARTICIPANTS: MRI data were collected in N = 200 adolescents ages 14-18 (M = 15.82 years; 67% male; 61% Hispanic/Latino). On average, during the past month, participants reported consuming 2.05 drinks per 1.01 drinking day, 0.64 g per 6.98 cannabis use days, and 2.49 cigarettes per 12.32 smoking days. MAIN OUTCOMES AND MEASURES: General linear models were utilized to examine past 30-day average quantities of alcohol, cannabis, and tobacco use, age, sex, and sex by substance interactions in skeletonized white matter (fractional anisotropy and axial, radial, and mean diffusivity) and voxel-based morphometry of gray matter (volume/density). RESULTS: Tobacco use was negatively associated with white matter integrity (radial and mean diffusivity) with peak effects in inferior and superior longitudinal fasciculi. Cannabis use was negatively associated with white matter integrity (axial diffusivity) in a small cluster in the left superior longitudinal fasciculus. No associations were observed between recent alcohol use and white or gray matter overall, but interactions showed significant negative associations between alcohol use and white matter in females. CONCLUSIONS AND RELEVANCE: It is important to note that recent tobacco use, particularly given the popularity of e-tobacco/vaping in this age group, had widespread associations with brain structure in this sample of adolescents.

Mega-Analysis of Gray Matter Volume in Substance Dependence: General and Substance-Specific Regional Effects.

OBJECTIVE: Although lower brain volume has been routinely observed in individuals with substance dependence compared with nondependent control subjects, the brain regions exhibiting lower volume have not been consistent across studies. In addition, it is not clear whether a common set of regions are involved in substance dependence regardless of the substance used or whether some brain volume effects are substance specific. Resolution of these issues may contribute to the identification of clinically relevant imaging biomarkers. Using pooled data from 14 countries, the authors sought to identify general and substance-specific associations between dependence and regional brain volumes. METHOD: Brain structure was examined in a mega-analysis of previously published data pooled from 23 laboratories, including 3,240 individuals, 2,140 of whom had substance dependence on one of five substances: alcohol, nicotine, cocaine, methamphetamine, or cannabis. Subcortical volume and cortical thickness in regions defined by FreeSurfer were compared with nondependent control subjects when all sampled substance categories were combined, as well as separately, while controlling for age, sex, imaging site, and total intracranial volume. Because of extensive associations with alcohol dependence, a secondary contrast was also performed for dependence on all substances except alcohol. An optimized split-half strategy was used to assess the reliability of the findings. RESULTS: Lower volume or thickness was observed in many brain regions in individuals with substance dependence. The greatest effects were associated with alcohol use disorder. A set of affected regions related to dependence in general, regardless of the substance, included the insula and the medial orbitofrontal cortex. Furthermore, a support vector machine multivariate classification of regional brain volumes successfully classified individuals with substance dependence on alcohol or nicotine relative to nondependent control subjects. CONCLUSIONS: The results indicate that dependence on a range of different substances shares a common neural substrate and that differential patterns of regional volume could serve as useful biomarkers of dependence on alcohol and nicotine.

Risky Sex in High-Risk Adolescents: Associations with Alcohol Use, Marijuana Use, and Co-Occurring Use.

Risky sexual behavior and substance use appear to be interconnected behaviors among adolescents, but data are scarce regarding the extent to which sexual risk behavior is associated with high levels of marijuana and alcohol use, both separately and in combination. 301 adolescents were recruited from a short-term detention facility, and substance use and risky sexual behavior were assessed. We found that adolescents who frequently used marijuana, but not alcohol, reported significantly less risky sex as well as greater intentions to use condoms than either adolescents who frequently used alcohol, but not marijuana, or adolescents who frequently used both substances. Substance use status as a predictor of future risky sexual behavior followed a similar pattern. When designing interventions to reduce substance use in the context of risky sex, it might be especially effective to target efforts toward reducing harm associated with alcohol use, either alone or in combination with marijuana use.

Working memory capacity and addiction treatment outcomes in adolescents.

BACKGROUND: Brief addiction treatments including motivational interviewing (MI) have shown promise with adolescents, but the factors that influence treatment efficacy in this population remain unknown. One candidate is working memory, the ability to hold a fact or thought in mind. This is relevant, as in therapy, a client must maintain and manipulate ideas while working with a clinician. Working memory depends upon brain structures and functions that change markedly during neurodevelopment and that can be negatively impacted by substance use. OBJECTIVES: In a secondary analysis of data from a clinical trial for adolescent substance use comparing alcohol/marijuana education and MI, we evaluated the relationship between working memory and three-month treatment-outcomes with the hypothesis that the relationship between intervention conditions and outcome would be moderated by working memory. METHODS: With a diverse sample of adolescents currently using alcohol and/or marijuana (N = 153, 64.7% male, 70.6% Hispanic), we examined the relationship between baseline measures of working memory and alcohol and cannabis-related problem scores measured at the three-month follow-up. RESULTS: The results showed that lower working memory scores were associated with poorer treatment response only for alcohol use, and only within the education group. No relationship was found between working memory and treatment outcomes in the MI group. CONCLUSION: The results suggest that issues with working memory capacity may interfere with adolescents' ability to process and implement didactic alcohol and marijuana content in standard education interventions. These results also suggest that MI can be implemented equally effectively across the range of working memory functioning in youth.

Functional activation during the Stroop is associated with recent alcohol but not marijuana use among high-risk youth.

Despite studies showing the relevance of different decision-making abilities, including response inhibition, to likelihood of using substances during adolescence, few have examined these neural processes among high-risk, substance-using youth. The current study explored associations between alcohol and marijuana use and functional activation differences during Stroop performance among a large sample (N=80) of ethnically-diverse, high-risk youth in an fMRI-based task. In the absence of associations between substance use and task behavioral performance, adolescents with greater alcohol use showed less activation during the more cognitively difficult portion of the task across clusters in bilateral cuneus and precuneus, and right and left superior temporal gyrus. No associations were observed with marijuana use. The current results may suggest neural patterns of deactivation in regions important for cognitive control, such that alcohol use may confer additional risk for future decreased inhibition among these high-risk adolescents. The ability to inhibit prepotent responses has been shown to predict later response to treatment, and early interventions to encourage further development of cognitive control could represent promising options for treatment.

Which matters most? Demographic, neuropsychological, personality, and situational factors in long-term marijuana and alcohol trajectories for justice-involved male youth.

Justice-involved youth have high rates of alcohol and marijuana use. However, little is known about what may drive these rates over time. Using a large-scale (N = 1,056; 41.4% African American, 33.5% Hispanic) longitudinal study with strong retention (M retention = 90% over Years 1-7), we utilized random-effects regression to determine the comparative contribution of four sets of factors in justice-involved males' patterns of marijuana and heavy alcohol use (number of times drunk) over 7 years of follow-up: demographic, personality, situational, and neuropsychological factors. Across both marijuana and heavy alcohol use models, three factors were particularly strong contributors to lower rates of substance use: (a) Hispanic ethnicity, (b) less exposure (street) time, and (c) better impulse control. Similarly, two factors were strong contributors to increased rates of marijuana and heavy alcohol use: (a) delinquent peers and (b) family member arrest. Together, these findings indicate the relative superiority of these independent variables over other categories (i.e., neuropsychological factors) in predicting high-risk youths' long-term (7-year) rates of substance use. These findings also suggest the importance of evaluating the connection of these areas for high-risk, adjudicated youth.

Does incentive-elicited nucleus accumbens activation differ by substance of abuse? An examination with adolescents.

Numerous questions surround the nature of reward processing in the developing adolescent brain, particularly in regard to polysubstance use. We therefore sought to examine incentive-elicited brain activation in the context of three common substances of abuse (cannabis, tobacco, and alcohol). Due to the role of the nucleus accumbens (NAcc) in incentive processing, we compared activation in this region during anticipation of reward and loss using a monetary incentive delay (MID) task. Adolescents (ages 14-18; 66% male) were matched on age, gender, and frequency of use of any common substances within six distinct groups: cannabis-only (n=14), tobacco-only (n=34), alcohol-only (n=12), cannabis+tobacco (n=17), cannabis+tobacco+alcohol (n=17), and non-using controls (n=38). All groups showed comparable behavioral performance on the MID task. The tobacco-only group showed decreased bilateral nucleus accumbens (NAcc) activation during reward anticipation as compared to the alcohol-only group, the control group, and both polysubstance groups. Interestingly, no differences emerged between the cannabis-only group and any of the other groups. Results from this study suggest that youth who tend toward single-substance tobacco use may possess behavioral and/or neurobiological characteristics that differentiate them from both their substance-using and non-substance-using peers.

Do therapist behaviors differ with Hispanic youth? A brief look at within-session therapist behaviors and youth treatment response.

Brief addiction treatments, including motivational interviewing (MI), have shown promise with youth. One underexamined factor in this equation is the role of therapist behaviors. We therefore sought to assess whether and how therapist behaviors differ for Hispanic versus non-Hispanic youth and how that may be related to treatment outcome. With 80 substance-using adolescents (M age = 16 years; 65% male; 59% Hispanic; 41% non-Hispanic), we examined the relationship between youth ethnicity and therapist behaviors across two brief treatments (MI and alcohol/marijuana education [AME]). We then explored relationships to youth 3-month treatment response across four target outcomes: binge drinking days, alcohol-related problems, marijuana use days, and marijuana-related problems. In this study, therapists showed significantly more MI skills within the MI condition and more didactic skills in the AME condition. With respect to youth ethnicity, across both conditions (MI and AME), therapists used less MI skills with Hispanic youth. Contrary to expectations, therapists' use of MI skills was not connected to poorer outcomes for Hispanic youth across the board (e.g., for binge drinking days, marijuana use days, or marijuana-related problems). Rather, for Hispanic youth, therapists' use of lower MI skills was related only to poorer treatment outcomes in the context of alcohol-related problems. The observed relationships highlight the importance of investigating salient treatment interactions between therapist factors and youth ethnicity to guide improvements in youth treatment response.

Functional connectivity and cannabis use in high-risk adolescents.

BACKGROUND: Adolescence is a unique neurodevelopmental period when regions of the brain most able to assess risk and reward are still in development. Cannabis use during adolescence has been associated with persistent negative outcomes. Although measures of resting brain activity are useful in assessing functional connectivity, such measures have not been broadly applied in adolescent cannabis-users. OBJECTIVES: The goal of the present study was to analyze the associations between cannabis use and resting brain activity in a sample of high-risk adolescents. METHODS: Eighty-two high-risk youth between 14-18 years old were recruited from a juvenile justice day program. Youth completed a brief neurocognitive battery including assessments of cannabis use and a 5-minute resting functional magnetic resonance imaging (fMRI) scan. Intrinsic connectivity networks were extracted using the GIFT toolbox. Brain activity in a fronto-temporal network was compared in youth with high cannabis use vs. low cannabis use using an independent-samples t-test with alcohol use entered as a covariate. RESULTS: Analysis revealed two elements within the fronto-temporal network related to cannabis use: one in middle frontal gyrus related to high cannabis use, and one in middle temporal gyrus related to low cannabis use. Only the frontal source survived application of a cluster size threshold and was significant at p < 0.005. CONCLUSIONS: These results are consistent with patterns of activity in adult cannabis-users. The observed effect may reflect either pre-existing risk factors or near-term consequences of cannabis use. Prevention and intervention strategies that address fronto-temporal functioning may be particularly helpful in this population.

Exploring racial/ethnic differences in substance use: a preliminary theory-based investigation with juvenile justice-involved youth.

BACKGROUND: Racial/ethnic differences in representation, substance use, and its correlates may be linked to differential long-term health outcomes for justice-involved youth. Determining the nature of these differences is critical to informing more efficacious health prevention and intervention efforts. In this study, we employed a theory-based approach to evaluate the nature of these potential differences. Specifically, we hypothesized that (1) racial/ethnic minority youth would be comparatively overrepresented in the juvenile justice system, (2) the rates of substance use would be different across racial/ethnic groups, and (3) individual-level risk factors would be better predictors of substance use for Caucasian youth than for youth of other racial/ethnic groups. METHODS: To evaluate these hypotheses, we recruited a large, diverse sample of justice-involved youth in the southwest (N = 651; M age = 15.7, SD = 1.05, range = 14-18 years); 66% male; 41% Hispanic, 24% African American, 15% Caucasian, 11% American Indian/Alaska Native). All youth were queried about their substance use behavior (alcohol, marijuana, tobacco, illicit hard drug use) and individual-level risk factors (school involvement, employment, self-esteem, level of externalizing behaviors). RESULTS: As predicted, racial/ethnic minority youth were significantly overrepresented in the juvenile justice system. Additionally, Caucasian youth reported the greatest rates of substance use and substance-related individual-level risk factors. In contrast, African American youth showed the lowest rates for substance use and individual risk factors. Contrary to predictions, a racial/ethnic group by risk factor finding emerged for only one risk factor and one substance use category. CONCLUSIONS: This research highlights the importance of more closely examining racial/ethnic differences in justice populations, as there are likely to be differing health needs, and subsequent treatment approaches, by racial/ethnic group for justice-involved youth. Additionally, this study highlights the need for timely, empirically supported (developmentally and cross-culturally) substance abuse interventions for all justice-involved youth.

Exploring the relationship between depressive and anxiety symptoms and neuronal response to alcohol cues.

BACKGROUND: Depressive and anxiety symptoms tend to co-occur with heavy drinking. Specifically, their presence may exacerbate the severity and intractability of heavy drinking. Similarly, heavy drinking may increase the risk for and experience of depressive and anxiety symptoms. Although depressive and anxiety symptoms have been significantly correlated with alcohol craving in cue-exposure paradigms, physiological responses have not always mapped onto emotional responses. Therefore, this study sought to examine the role of depressive and anxiety symptoms using a more basic science approach, through examining functional brain changes. METHODS: Seventy nontreatment seeking, heavy drinking adults were recruited through a college campus (n = 45 men; mean age = 22.8). They completed measures of drinking, smoking, depressive symptoms, anxiety symptoms, and a functional magnetic resonance imaging (fMRI) cue-exposure paradigm. RESULTS: As hypothesized, depressive symptoms were positively correlated with activation during the alcohol (vs. appetitive control) cue in the insula, cingulate, ventral tegmentum, striatum, and thalamus (cluster-corrected p < 0.05, z = 2.3). Similarly, anxiety symptoms were positively correlated with activation during the alcohol (vs. appetitive control) cue in the striatum, thalamus, insula, and inferior frontal, mid-frontal, and cingulate gyri (cluster-corrected p < 0.05, z = 2.3). CONCLUSIONS: Significant correlations were found between depressive symptoms, anxiety symptoms, and differential brain activation in response to an alcohol versus an appetitive control cue in an fMRI paradigm. Moreover, the pattern of activation mapped onto expected regions. This study strongly supports the posited relationships between depressive symptoms, anxiety symptoms, and differential brain activation in an alcohol cue-exposure paradigm with a sample of heavy drinking adults.