Commercial Cannabidiol for Community-Based Young Adolescents: Predicting Medicinal Use.

Objectives: Cannabidiol (CBD) is rising in popularity, including as a potential medicinal product. Yet data on use of commercial CBD for medicinal or health reasons in adolescents are lacking. In this study we aim to detail characteristics of adolescents given commercial CBD for health reasons (health CBD [hCBD]) and to investigate predictors of use. Materials and Methods: The Adolescent Brain Cognitive Development (ABCD) Study is a population-based cohort study following U.S. healthy, community-based adolescents annually, with data from 2018 to 2022 (11- to 15-year-olds; N=11,189). Participants and caregivers completed questionnaires, including whether adolescents were given CBD with parent or doctor's permission. Participants reported past-month pain, attention problems, externalizing symptoms, internalizing symptoms, and total mental health problems. Caregivers reported youth sociodemographics, sleep problems, whether the youth had mental health treatment or sought medical treatment, and rules about recreational cannabis use. We describe youth given hCBD, and run generalized estimating equations predicting odd ratios (ORs) and 95% confidence intervals of adolescents given hCBD by mental health, physical health, or sociodemographics of factors. Results: Of the 11,189 participants across up to three waves of data, 48% were female. Mean age across waves was 12.8 years old (SD=1). In total, 307 (2.8%) were given hCBD. Common administration methods were oil (42%), topical (31%), and edibles (29%). Increased hCBD odds were associated with being older (OR=1.32 [1.17-1.49]), White (relative to Black, OR=05.97 [2.81-12.65] or Hispanic, OR=1.82 [1.17-2.82]), parents with some college (relative to no high school diploma, OR=3.55 [1.09-11.6]), internalizing symptoms (OR=1.81 [1.13-2.91]), mental health treatment (OR=1.76 [1.3-2.38]), pain (OR=1.38 [1.09-1.76]), medical treatment (OR=1.39 [1.08-1.79]), and sleep problems (OR=1.69 [1.27-2.25]). Rules against recreational cannabis decreased odds of hCBD (OR=1.75 [1.30-2.36]). Conclusions: Findings indicate some healthy adolescents are given hCBD, and predictors of use include mental and physical health concerns, being White, older, and parents with some college education. Providers should ask if their youth patients are being given CBD medicinally, and transparently discuss potential benefits, consequences, and unknowns of CBD.

Are Pain Screening and Functional Assessment Results Associated with New Diagnoses and Treatment for Pain in Primary Care? An Observational Study.

Purpose: To determine if pain screening and functional assessment results are associated with new diagnoses and treatment for pain in primary care. Patients and Methods: Observational study at 13 primary care sites of a statewide federally qualified health center that implemented routine screening and functional assessment for all adults in primary care. The study group included 10,091 adults aged 18+ who had an in-person visit between July 2, 2018, and June 1, 2019, where they screened positive for chronic pain and completed a 3-question functional assessment with the PEG (Pain, Enjoyment of Life, General Activity). Multivariate logistic regressions quantified associations between pain frequency, diagnosis and treatment, sociodemographics, comorbidities, and self-reported severe pain impairment with pain diagnoses and treatment documented after screening. Results: Patients were mostly women (60.3%), Latinx (41.1%), English-speaking (80.1%), and Medicaid-insured (62.0%); they averaged 49.1 years old (SD = 13.7 years). Patients with severe pain impairment or who were Latinx were more likely to get a newly documented pain diagnosis (absolute risk difference [ARD]: 13.2% and 8.6%, ps < 0.0001), while patients with mental health/substance use or medical comorbidities were less likely (ARDs: -20.0% to -6.2%, ps < 0.001). Factors most consistently associated with treatment were prior treatment of the same modality (4 of 7 treatments, ARDs = 27.3% to 44.1%, ps <0.0001), new pain diagnosis (5 of 7, ARDs = 3.2% to 27.4%, ps <0.001), and severe impairment (4 of 7, ARDs = 2.6% to 6.5%, ps < 0.0001). A new diagnosis had the strongest association with non-opioid pain analgesics and physical medicine (ARD = 27.0% and 27.4%, p < 0.0001). Latinx patients were less likely to receive opioid analgesics and mental health/substance use medications and counseling (ARDs = -3.3% to 7.5%, ps <0.0001). Conclusion: Screening and assessment with patient-reported tools may influence pain care. Care for Latinx patients differed from non-Latinx white patients.

Evaluation of a Chronic Pain Screening Program Implemented in Primary Care.

Importance: Although pain is among the most common symptoms reported by patients, primary care practitioners (PCPs) face substantial challenges identifying and assessing pain. Objective: To evaluate a 2-step process for chronic pain screening and follow-up in primary care. Design, Setting, and Participants: A cross-sectional study of patients with a primary care visit between July 2, 2018, and June 1, 2019, was conducted at a statewide, multisite federally qualified health center. Participants included 68 PCPs and 58 medical assistants from 13 sites who implemented the screening process in primary care, and 38 866 patients aged 18 years or older with a primary care visit during that time. Exposures: Single-question assessment of pain frequency, followed by a 3-question PEG (pain, enjoyment of life, general activity) functional assessment for patients with chronic pain. Main Outcomes and Measures: Adherence to a 2-step chronic pain screening and PEG process, proportion of patients with positive screening results, mean PEG pain severity greater than or equal to 7, and documented chronic painful condition diagnosis in patient's electronic health record between 1 year before and 90 days after screening. Results: Of 38 866 patients with a primary care visit, 31 600 patients (81.3%) underwent screening. Mean (SD) age was 46.2 (15.4) years, and most were aged 35 to 54 years (12 987 [41.1%]), female (18 436 [58.3%]), Hispanic (14 809 [46.9%]), and English-speaking (22 519 [71.3%]), and had Medicaid insurance (18 442 [58.4%]). A total of 10 262 participants (32.5%) screened positive and, of these, 9701 (94.5%) completed the PEG questionnaire. PEG responses indicated severe pain interference with activities of daily living (PEG ≥7) in 5735 (59.1%) participants. A chronic painful condition had not been diagnosed in 4257 (43.9%) patients in the year before screening. A new chronic painful condition was diagnosed at screening or within 90 days in 2250 (52.9%) patients. Care teams found the workflow acceptable, but cited lengthy administration time, challenges with comprehension of the PEG questions, and limited comprehensiveness as implementation barriers. Conclusions and Relevance: A systematic, 2-step process for chronic pain screening and functional assessment in primary care appeared to identify patients with previously undocumented chronic pain and was feasible to implement. Patient-provided information on the frequency of pain, pain level, and pain interference can help improve the assessment and monitoring of pain in primary care.

Neuropsychological Trajectories Associated with Adolescent Alcohol and Cannabis Use: A Prospective 14-Year Study.

OBJECTIVES: Alcohol and cannabis remain the substances most widely used by adolescents. Better understanding of the dynamic relationship between trajectories of substance use in relation to neuropsychological functioning is needed. The aim of this study was to examine the different impacts of within- and between-person changes in alcohol and cannabis use on neuropsychological functioning over multiple time points. METHODS: Hierarchical linear modeling examined the effects of alcohol and cannabis use on neuropsychological functioning over the course of 14 years in a sample of 175 adolescents (aged 12-15 years at baseline). RESULTS: Time-specific fluctuations in alcohol use (within-person effect) predicted worse performance across time on the Wechsler Abbreviated Scale of Intelligence Block Design subtest (B = -.05, SE = .02, p = .01). Greater mean levels of percent days of cannabis use across time (between-person effect) were associated with an increased contrast score between Delis-Kaplan Executive Function System Color Word Inhibition and Color Naming conditions (B = .52, SE = .14, p < .0001) and poorer performance over time on Block Design (B = -.08, SE = .04, p = .03). Neither alcohol and/nor cannabis use over time was associated with performance in the verbal memory and processing speed domains. CONCLUSIONS: Greater cumulative cannabis use over adolescence may be linked to poorer inhibitory control and visuospatial functioning performance, whereas more proximal increases in alcohol consumption during adolescence may drive alcohol-related performance decrements in visuospatial functioning. Results from this prospective study add to the growing body of literature on the impact of alcohol and cannabis use on cognition from adolescent to young adulthood.

Improvement in women's cardiovascular functioning during cognitive-behavioral therapy for alcohol use disorder.

The cardiovascular system is disrupted by chronic excessive alcohol use and often impaired in individuals with an alcohol use disorder (AUD). Less is known about cardiovascular recovery when an individual receives treatment for AUD. This observational study aimed to extend the growing body of evidence for cardiovascular biomarkers and intervention targets in the treatment of AUD. We examined cardiovascular function in 92 women before and after 12 weeks of cognitive-behavioral therapy (CBT) for AUD. Participants were recruited exclusively from a randomized clinical trial comparing group versus individual CBT treatment strategies (parent study); no control group of untreated, but treatment-seeking women was available. Demographic and drinking data were obtained from the parent study. Cardiovascular data were collected as part of this separate study, prior to and following the clinical trial. Mixed-model analyses revealed multiple within-person cardiovascular changes indicative of improving health from pre- to posttreatment, including reduced heart rate and vessel stiffness as well as increased heart rate variability and baroreflex sensitivity. These significant improvements remained when extent of drinking during treatment was included in the models, suggesting that active ingredients of AUD treatment may serve to benefit physical health over and above drinking reductions. Future studies should assess the time course of cardiovascular recovery during addiction treatment and the mechanisms by which evidence-based AUD treatments may benefit physical as well as mental health. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Earlier alcohol use onset prospectively predicts changes in functional connectivity.

BACKGROUND: Half of all new alcohol initiates are between 12 and 17 years old. This is a period of intense neurodevelopment, including changes in functional connectivity patterns among higher-order function areas. It is crucial to understand how alcohol-related neurotoxicity may be influenced by drinking onset age. DESIGN: This study prospectively examined the effects of age of first drink on frontoparietal context-dependent functional connectivity (cdFC) during a visual working memory task. Youth 13.5 years of age (SD = 1.2) underwent a neuropsychological and neuroimaging session before drinking initiation and at follow-up 6 years later. Hierarchical linear regressions examined if youth with earlier ages of onset for first and weekly alcohol use showed higher follow-up cdFC between the dorsolateral prefrontal cortex and posterior parietal cortex regions of interest and whole-brain exploratory regions, controlling for pre-drinking cdFC. Higher follow-up cdFC was hypothesized to be correlated with poorer performances in neuropsychological performance. RESULTS: Exploratory whole-brain analyses showed that, as hypothesized, earlier ages of weekly drinking onset were associated with higher cdFC between the bilateral posterior cingulate and cortical and subcortical areas implicated in attentional processes, which was in turn associated with poorer performance on neuropsychological tasks of attention, ps < .05. No relationship between age of onset and cdFC between the two ROIs were found. CONCLUSION: Earlier ages of weekly alcohol use initiation may adversely affect neurodevelopment by reducing developmentally appropriate integration of attentional circuits during a cognitive challenge. Delaying the onset of weekly alcohol use patterns well after early adolescence may reduce the risk for harm of alcohol use on the brain.

Prospective changes in neural alcohol cue reactivity in at-risk adolescents.

Adolescence represents an ideal time for elucidating the etiology of cue reactivity profiles. This study examined the influence of three risk factors consistently associated with heavy adolescent drinking on alcohol cue reactivity. Youth were first assessed while still naïve to alcohol (12-14 years old) and followed after transitioning into alcohol use (17-21 years old). The effects of family history of substance use disorder, sex, and history of early of dating (i.e., before 14 years of age) on BOLD response contrast to alcohol picture cues were examined in a linear mixed model, controlling for age and alcohol use patterns at follow-up. Activation to alcohol picture cues differed as a function of risk factor and time. At baseline, family history positive youth showed greater activation to alcohol cues than family history negative peers in the right middle occipital and anterior cingulate gyri. Youth with a history of early-dating showed greater activation to alcohol cues, compared to non-early daters, in the left anterior cingulate/white matter region. Girls showed greater activation to alcohol than boys at baseline in left middle frontal gyrus. At follow-up, after drinking started, patterns reversed for each risk factor. These results indicate that even prior to initiating alcohol use, adolescents showed differences in activation to alcohol cues based on their family history, dating history, and sex.

Effects of sleep on substance use in adolescents: a longitudinal perspective.

Substance use (SU) and sleep problems appear interrelated, but few studies have examined the influence of adolescent sleep patterns on development of SU disorders. This study prospectively examined the influence of sleep habits on subsequent SU in youth who later transitioned into heavy drinking. At time 1 (T1), participants (n = 95) were substance-naive 12- to 14-year-olds. Path-analytic models examined whether the effects of T1 risk factors (familial SU disorder, inhibition control, and externalizing and internalizing traits) on time 3 (M = 19.8 years old) tobacco, alcohol, and cannabis were mediated by time 2 (M = 15.1 years old) sleep chronotype, daytime sleepiness, and erratic sleep/wake behaviors. Significant direct path effects of T1 risk factors and time 2 sleep behaviors on time 3 SU were found, Ps < 0.05. In models that examined the effect of each individual sleep behavior separately on SU, more erratic sleep/wake and greater daytime sleepiness predicted higher lifetime use events for all substances (Ps < 0.01). Higher evening chronotype tendencies predicted lower tobacco and higher alcohol and cannabis lifetime use events (Ps < 0.01). Erratic sleep/wake behaviors mediated the effect of inhibitory control on subsequent SU; less erratic sleep/wake behaviors predicted better inhibition control ( ß̂= -0.20, P < 0.05). Early-mid adolescent psychiatric health and sleep behaviors prior to drinking onset predicted greater SU 5 years later. Participants were substance-naïve at baseline, allowing for the examination of temporal order in the relationship between sleep problems and alcohol use. Early adolescent sleep problems may be an important risk factor for SU in later life.

Earlier Alcohol Use Onset Predicts Poorer Neuropsychological Functioning in Young Adults.

BACKGROUND: Neurodevelopment may be shaped by environmental factors such as alcohol intake. Over 20% of U.S. high school students begin drinking before age 14, and those who initiated drinking before age 14 are 4 times more likely to develop psychosocial, psychiatric, and substance use difficulties than those who began drinking after turning 20. Little is known, however, about how the age of alcohol use onset influences brain development. METHODS: This study prospectively examined the effects of alcohol use onset age on neurocognitive functioning in healthy adolescent drinkers (N = 215). Youth were administered a neuropsychological battery before substance use initiation (M = 13.6 years, SD = 0.8) and on average 6.8 years later (M = 20.2 years, SD = 1.5). Hierarchical linear regressions examined if earlier ages of onset for first and regular (i.e., weekly) alcohol use adversely influenced neurocognition, above and beyond baseline neurocognition, substance use severity, and familial and social environment factors. RESULTS: As hypothesized, an earlier age of first drinking onset (AFDO) predicted poorer performance in the domains of psychomotor speed and visual attention (ps<0.05, N = 215) and an earlier age of weekly drinking onset (AWDO) predicted poorer performances on tests of cognitive inhibition and working memory, controlling for baseline neuropsychological performance, drinking duration, and past-year marijuana use (ps<0.05, N = 127). No relationship between AFDO and AWDO was found with verbal learning and memory and visuospatial ability. CONCLUSIONS: This is the first study to assess the association between age of adolescent drinking onset and neurocognitive performance using a comprehensive test battery. This study suggests that early onset of drinking increases risk for alcohol-related neurocognitive vulnerabilities and that initiation of any or weekly alcohol use at younger ages appears to be a risk factor for poorer subsequent neuropsychological functioning. Findings have important implications for public policies related to the legal drinking age and prevention programming. Further studies are needed to replicate these preliminary findings and better understand mediating processes and moderating conditions.

Neural Predictors of Initiating Alcohol Use During Adolescence.

OBJECTIVE: Underage drinking is widely recognized as a leading public health and social problem for adolescents in the United States. Being able to identify at-risk adolescents before they initiate heavy alcohol use could have important clinical and public health implications; however, few investigations have explored individual-level precursors of adolescent substance use. This prospective investigation used machine learning with demographic, neurocognitive, and neuroimaging data in substance-naive adolescents to identify predictors of alcohol use initiation by age 18. METHOD: Participants (N=137) were healthy substance-naive adolescents (ages 12-14) who underwent neuropsychological testing and structural and functional magnetic resonance imaging (sMRI and fMRI), and then were followed annually. By age 18, 70 youths (51%) initiated moderate to heavy alcohol use, and 67 remained nonusers. Random forest classification models identified the most important predictors of alcohol use from a large set of demographic, neuropsychological, sMRI, and fMRI variables. RESULTS: Random forest models identified 34 predictors contributing to alcohol use by age 18, including several demographic and behavioral factors (being male, higher socioeconomic status, early dating, more externalizing behaviors, positive alcohol expectancies), worse executive functioning, and thinner cortices and less brain activation in diffusely distributed regions of the brain. CONCLUSIONS: Incorporating a mix of demographic, behavioral, neuropsychological, and neuroimaging data may be the best strategy for identifying youths at risk for initiating alcohol use during adolescence. The identified risk factors will be useful for alcohol prevention efforts and in research to address brain mechanisms that may contribute to early drinking.

Neural predictors of alcohol use and psychopathology symptoms in adolescents.

Adolescence is a period marked by increases in risk taking, sensation seeking, and emotion dysregulation. Neurobiological models of adolescent development propose that lagging development in brain regions associated with affect and behavior control compared to regions associated with reward and emotion processing may underlie these behavioral manifestations. Cross-sectional studies have identified several functional brain networks that may contribute to risk for substance use and psychopathology in adolescents. Determining brain structure measures that prospectively predict substance use and psychopathology could refine our understanding of the mechanisms that contribute to these problems, and lead to improved prevention efforts. Participants (N = 265) were healthy substance-naïve adolescents (ages 12-14) who underwent magnetic resonance imaging and then were followed annually for up to 13 years. Cortical thickness and surface area measures for three prefrontal regions (dorsolateral prefrontal cortex, inferior frontal gyrus, and orbitofrontal cortex) and three cortical regions from identified functional networks (anterior cingulate cortex, insular cortex, and parietal cortex) were used to predict subsequent binge drinking, externalizing symptoms, and internalizing symptoms. Thinner dorsolateral prefrontal cortex and inferior frontal cortex in early adolescence predicted more binge drinking and externalizing symptoms, respectively, in late adolescence (ps < .05). Having a family history of alcohol use disorder predicted more subsequent binge drinking and externalizing symptoms. Thinner parietal cortex, but not family history, predicted more subsequent internalizing symptoms (p < .05). This study emphasizes the temporal association between maturation of the salience, inhibition, and executive control networks in early adolescence and late adolescent behavior outcomes. Our findings indicate that developmental variations in these brain regions predate behavioral outcomes of substance use and psychopathology, and may therefore serve as prospective biomarkers of vulnerability.

Learning and Memory in Adolescent Moderate, Binge, and Extreme-Binge Drinkers.

BACKGROUND: Binge drinking has been linked to neurocognitive disadvantages in youth, but it is unclear whether drinking at particularly heavy levels uniquely affects neurocognitive performance. This study prospectively examined (1) whether initiating moderate, binge, or extreme-binge drinking in adolescence differentially influences subsequent learning and memory performances, and (2) whether dosage of alcohol consumption is linearly associated with changes in learning and memory over 6 years of adolescence. METHODS: Participants, who later transitioned into drinking, were administered verbal learning and memory (VLM) assessments at project intake prior to the onset of substance use (age 12 to 16 years), and at follow-up approximately 6 years later (N = 112). Participants were grouped based on alcohol involvement at follow-up as follows: moderate (≤4 drinks per occasion), binge (5+ drinks per occasion), or extreme-binge (10+ drinks per occasion) drinkers. RESULTS: Despite equivalent performances prior to onset of drinking, extreme-binge drinkers performed worse than moderate drinkers on verbal learning, and cued and free short delayed recall (ps < 0.05); binge drinkers did not differ from the other groups. No distinct thresholds in alcohol quantity to differentiate the 3 groups were detected, but estimated peak blood alcohol concentrations were linearly associated with verbal learning (ß^ = -0.24), and immediate (ß^ = -0.27), short delay free (ß^ = -0.28) and cued (ß^ = -0.30), and long delay free (ß^ = -0.24) and cued (ß^ = -0.27) recall (ps < 0.05). CONCLUSIONS: Drinking quantity during adolescence appears to adversely affect VLM in a dose-dependent manner. The acquisition of new verbal information may be particularly affected, notably for those who initiated drinking 10+ drinks in an occasion. Although classification of drinkers into categories remains critical in the study of alcohol, it is important to consider that subtle differences may exist within drinking categories.

Drinkers' memory bias for alcohol picture cues in explicit and implicit memory tasks.

BACKGROUND: Alcohol cues can bias attention and elicit emotional reactions, especially in drinkers. Yet, little is known about how alcohol cues affect explicit and implicit memory processes, and how memory for alcohol cues is affected by acute alcohol intoxication. METHODS: Young adult participants (N=161) were randomly assigned to alcohol, placebo, or control beverage conditions. Following beverage consumption, they were shown neutral, emotional and alcohol-related pictures cues. Participants then completed free recall and repetition priming tasks to test explicit and implicit memory, respectively, for picture cues. Average blood alcohol concentration for the alcohol group was 74±13mg/dl when memory testing began. Two mixed linear model analyses were conducted to examine the effects of beverage condition, picture cue type, and their interaction on explicit and implicit memory. RESULTS: Picture cue type and beverage condition each significantly affected explicit recall of picture cues, whereas only picture cue type significantly influenced repetition priming. Individuals in the alcohol condition recalled significantly fewer pictures than those in other conditions, regardless of cue type. Both free recall and repetition priming were greater for emotional and alcohol-related cues compared to neutral picture cues. No interaction effects were detected. CONCLUSIONS: Young adult drinkers showed enhanced explicit and implicit memory processing of alcohol cues compared to emotionally neutral cues. This enhanced processing for alcohol cues was on par with that seen for positive emotional cues. Acute alcohol intoxication did not alter this preferential memory processing for alcohol cues over neutral cues.

Effects of Emerging Alcohol and Marijuana Use Behaviors on Adolescents' Neuropsychological Functioning Over Four Years.

OBJECTIVE: Adolescence is a period of neuromaturation concomitant with increased substance involvement. Most substance use studies of adolescents have focused on categorical classifications (e.g., dependent vs. nondependent), but little is known about the influence of specific substance use behaviors on cognitive functioning in youth. METHOD: This study prospectively evaluated the quantitative effects of different substance use behaviors on neuropsychological functioning. A cognitive test battery was administered at baseline (ages 12-14 years), before substance use initiation, and at follow-up (M = 4.0 years, SD = 2.0) to evaluate changes in verbal memory, visuospatial ability, psychomotor speed, processing speed, and working memory. Robust regressions examined substance use behaviors as predictors of neuropsychological functioning (N = 234). RESULTS: Several substance use behaviors predicted follow-up neuropsychological functioning above and beyond effects of baseline performance on the same measure (ps < .05). Specifically, more alcohol use days predicted worse verbal memory (ß = -.15) and visuospatial ability (ß = -.19). More postdrinking effects (ß = -.15) and greater drug use (ß = -.11) predicted worse psychomotor speed. Processing speed was not predicted by substance involvement (ps > .05). Unexpectedly, more alcohol use predicted better working memory performance (ß = .12). CONCLUSIONS: The frequency and intensity of adolescent alcohol use may be more intricately linked to neuropsychological outcomes than previously considered. The low prevalence of substance use disorder in the sample suggests that subdiagnostic users may still experience adverse effects to verbal memory, visuospatial functioning, and psychomotor speed after initiating intense or frequent alcohol use.

Cortical thickness and neurocognition in adolescent marijuana and alcohol users following 28 days of monitored abstinence.

OBJECTIVE: Adolescent marijuana use continues to increase in prevalence as harm perception declines. Better understanding of marijuana's impact on neurodevelopment is crucial. This prospective study aimed to investigate cortical thickness and neurocognitive performance before and after 28 days of monitored abstinence in adolescent marijuana and alcohol users. METHOD: Subjects (N = 54; >70% male) were adolescent marijuana users (ages 15-18 years) with regular alcohol use (MJ + ALC; n = 24) and non-using controls (CON; n = 30) who were compared before and after 4 weeks of sequential urine toxicology to confirm abstinence. Participants underwent magnetic resonance imaging, neuropsychological assessment, and substance use assessment at both time points. Repeated-measures analysis of covariance was used to look at the main effects of group, time, and Group × Time interactions on cortical thickness and neurocognitive functioning. Bivariate correlations estimated associations between cortical thickness, substance use severity, and cognitive performance. RESULTS: Marijuana users showed thicker cortices than controls in the left entorhinal cortex (ps < .03) before and after monitored abstinence, after adjusting for lifetime alcohol use. More lifetime marijuana use was linked to thinner cortices in temporal and frontal regions, whereas more lifetime alcohol use and heavy episodic drinking episodes was linked to thicker cortices in all four lobes (ps < .05). Age of onset of regular marijuana use was positively related to cortical thickness (ps < .03). CONCLUSIONS: Adolescent alcohol and marijuana use may be linked to altered longer-term neurodevelopmental trajectories and compromised neural health. Cortical thickness alterations and dose-dependent associations with thickness estimates were observed both before and after monitored abstinence and suggest neural differences continue to persist 28 days after cessation of marijuana use. Neural recovery may be identified with longer follow-up periods; however, observed changes related to use severity could have implications for future psychosocial outcomes.

Inhibition during early adolescence predicts alcohol and marijuana use by late adolescence.

OBJECTIVE: Adolescent substance use has been associated with poorer neuropsychological functioning, but it is unclear if deficits predate or follow the onset of use. The goal of this prospective study was to understand how neuropsychological functioning during early adolescence could predict substance use by late adolescence. METHOD: At baseline, participants were 175 substance-use-naïve healthy 12- to 14-year-olds (41% female) recruited from local schools. Participants completed extensive interviews and neuropsychological tests. Each year, participants' substance use was assessed. By late adolescence (ages 17 to 18), 105 participants transitioned into substance use and 75 remained substance-naïve. Hierarchical linear regressions examined how baseline cognitive performance predicted subsequent substance use, controlling for common substance use risk factors (i.e., family history, externalizing behaviors, gender, pubertal development, and age). RESULTS: Poorer baseline performance on tests of cognitive inhibition-interference predicted higher follow-up peak drinks on an occasion (ß = -.15; p < .001), more days of drinking (ß = -.15; p < .001), and more marijuana use days (ß = -.17; p < .001) by ages 17 to 18, above and beyond covariates. Performances on short-term memory, sustained attention, verbal learning and memory, visuospatial functioning, and spatial planning did not predict subsequent substance involvement (ps > .05). CONCLUSIONS: Compromised inhibitory functioning during early adolescence prior to the onset of substance use was related to more frequent and intense alcohol and marijuana use by late adolescence. Inhibition performance could help identify teens at risk for initiating heavy substance use during adolescence, and potentially could be modified to improve outcome.