Physical inactivity during adolescence heightens risk for cannabis use disorder in adulthood.

The association between physical inactivity and substance use throughout adolescence was prospectively investigated in relation to developing cannabis use disorder (CUD). Physical inactivity and substance use in males (N = 462) and females (N = 178) were measured at 12-14, 16, 19, and 22 years of age in a repeated measures design. A structured diagnostic interview was administered to formulate current CUD diagnosis at 22 years of age. Mixture modeling path analysis evaluated the association between physical inactivity, substance use, and CUD. Males: Slope of physical inactivity increase spanning 12-22 years of age mediates the association between number of parents with substance use disorder (SUD) and rate of increase in substance use frequency (prodrome) which mediates the association between physical inactivity (hypothesized vulnerability) and CUD. Females: Number of SUD parents predicts slope of physical inactivity increase in daughters throughout adolescence which covaries with slope of increasing substance use frequency culminating in CUD. The association between parental SUD load (number of SUD affected parents) and CUD was found to not be mediated by physical inactivity. Rate of increase in physical inactivity during adolescence in males and females is a facet of the vulnerability for CUD. These results have ramifications for prevention considering that numerous cognitive, behavior, and emotion features of CUD vulnerability are attenuated by exercise. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Bidirectional associations between self-regulation and deviance from adolescence to adulthood.

Self-regulation is considered a major predictor of crime and deviant behavior. However, longitudinal research investigating these associations, frequently looked only at the effect of self-regulation on deviant behavior, but not the other way around. The current study argued that deviance may contribute to later problems in self-regulation, and examined bidirectional associations, comparing a unidirectional and bidirectional model of associations between these variables. A Random Intercept Cross-Lagged Panel Model and eight data waves from 772 participants, aged 10-12 years to 30 years were used. Results showed that a bidirectional model fit the data better than a unidirectional model. The final model revealed an influence of deviance on self-regulation mainly in adolescence, whereas self-regulation influenced deviance only over two time points in adulthood. The results suggest that, in adolescence, problems in self-regulation may follow, rather than precede deviant behavior. Thus, decreasing deviant behavior or intervening in the aftermaths of deviant behavior in adolescence might have a positive effect on self-regulation in young adulthood, lowering the chance of adult deviant behavior. The current study shows that the long-presumed directionality of self-regulation to deviance can lead to bias, and more rigorous longitudinal research is needed in order to further inform theory and practice.

Do the Transmissible Liability Index (TLI) and Adolescent Cannabis Use Predict Paranoid and Schizotypal Symptoms at Young Adulthood?

Background: Adolescent cannabis use is an established risk factor for the development of psychosis, but the premorbid vulnerability factors and specificity versus generality of the psychotic symptom domains affected in cannabis-psychosis relationships remain incompletely understood. To improve our understanding of these relationships, we used longitudinal data to examine the individual and interactive effects of preadolescent transmissible liability to substance use disorders (SUD), measured via the transmissible liability index (TLI), and adolescent cannabis use on the development of two distinct psychotic symptom domains, paranoid and schizotypal personality traits in young adulthood. Methods: We performed secondary analysis of data from the Center for Education and Drug Abuse (CEDAR) study, which longitudinally assessed offspring of men with (N = 211) and without (N = 237) lifetime history of SUD at ages 10-12, and across adolescence as they transitioned to young adulthood. TLI scores were calculated at age 10-12, self-reported cannabis use was assessed at age 16, and paranoid and schizotypal symptoms were assessed at age 19. Results: Cannabis use at age 16 and family history of SUD were significantly associated with paranoid and schizotypal symptoms at age 19, but TLI scores were not. The interactive effect of TLI x cannabis use was also not significant. Paranoid and schizotypal symptoms showed different dose-dependent sensitivities to cannabis exposure at age 16. Conclusions: These findings indicate that adolescent cannabis use and family history of SUD differentially contribute to the development of paranoid and schizotypal personality traits through mechanisms that do not include behavioral disinhibition.

Forecasting Opioid Use Disorder at 25 Years of Age in 16-Year-Old Adolescents.

OBJECTIVE: To evaluate the accuracy of detecting 16-year-old male (n = 465) and female (n = 162) youths who subsequently manifest opioid use disorder (OUD) at 25 years of age. We hypothesized that the combined measures of 2 components of etiology, heritable risk, and substance use, accurately detect youths who develop OUD. STUDY DESIGN: Heritable risk was measured by the transmissible liability index (TLI). Severity of the prodrome presaging OUD was quantified by the revised Drug Use Screening Inventory containing the consumption frequency index (CFI) documenting substance use events during the past month and the overall problem density (OPD) score indicating co-occurring biopsychosocial problems. Diagnosis of OUD was formulated by a clinical committee based on results of the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition in conjunction with medical and social history records. RESULTS: Bivariate analysis shows that the TLI, CFI, and OPD scores at 16 years of age predict OUD at 25 years. Multivariate modeling indicates that the TLI combined with the CFI predict OUD with 86% accuracy (sensitivity = 87%; specificity = 62%). The TLI and CFI at 16 years of age mediate the association between parental substance use disorder and OUD in offspring at 25 years of age, indicating that these measures respectively evaluate risk and prodrome. CONCLUSIONS: These results demonstrate the feasibility of identifying youths requiring intervention to prevent OUD.

Derivation and assessment of the opioid use disorder severity scale: prediction of health, psychological and social adjustment problems.

Background: Severity of substance use disorder (SUD) is typically evaluated by tabulating the number of symptoms. The resulting estimate of disorder severity is, however, biased due to intercorrelations among symptoms and their unequal salience. Objective. Employing item response theory (IRT) methodology, opioid use disorder symptoms were calibrated to derive the Opioid Use Disorder Severity Scale (OUDSS) and assess its predictive ability in men and women separately. Methods: A two-parameter IRT model was utilized to derive the OUDSS from DSM-IV symptoms recorded on the Structured Clinical Interview for DSM-IV (SCID) in 438 men and 429 women who reported at least one lifetime opioid consumption event. The predictive ability of the OUDSS was evaluated using the 10 health, psychological, and social adjustment domains of the revised Drug Use Screening Inventory (DUSI-R) assessed 2 years later. Results: The OUDSS score predicted the severity of problems in all 10 DUSI-R domains in men and women. The OUDSS also predicted the DUSI-R diagnostic cutoff score of overall problem density score in men and women (OR = 2.21 and OR = 4.83, respectively). Withdrawal was the most frequently endorsed symptom in this sample of opioid users. The other symptoms' frequencies, while somewhat lower than withdrawal's, did not differ from it substantially, indicating a similar severity threshold. Conclusions: OUDSS enables dimensional measurement of opioid use severity on an interval scale. The OUDSS and DUSI-R together can identify problem areas requiring prevention or treatment.

Analysis of substance use and its outcomes by machine learning I. Childhood evaluation of liability to substance use disorder.

BACKGROUND: Substance use disorder (SUD) exacts enormous societal costs in the United States, and it is important to detect high-risk youths for prevention. Machine learning (ML) is the method to find patterns and make prediction from data. We hypothesized that ML identifies the health, psychological, psychiatric, and contextual features to predict SUD, and the identified features predict high-risk individuals to develop SUD. METHOD: Male (N = 494) and female (N = 206) participants and their informant parents were administered a battery of questionnaires across five waves of assessment conducted at 10-12, 12-14, 16, 19, and 22 years of age. Characteristics most strongly associated with SUD were identified using the random forest (RF)algorithm from approximately 1000 variables measured at each assessment. Next, the complement of features was validated, and the best models were selected for predicting SUD using seven ML algorithms. Lastly, area under the receiver operating characteristic curve (AUROC) evaluated accuracy of detecting individuals who develop SUD+/- up to thirty years of age. RESULTS: Approximately thirty variables strongly predict SUD. The predictors shift from psychological dysregulation and poor health behavior in late childhood to non-normative socialization in mid to late adolescence. In 10-12-year-old youths, the features predict SUD+/- with 74% accuracy, increasing to 86% at 22 years of age. The RF algorithm optimally detects individuals between 10-22 years of age who develop SUD compared to other ML algorithms. CONCLUSION: These findings inform the items required for inclusion in instruments to accurately identify high risk youths and young adults requiring SUD prevention.

Analysis of substance use and its outcomes by machine learning: II. Derivation and prediction of the trajectory of substance use severity.

BACKGROUND: This longitudinal study explored the utility of machine learning (ML) methodology in predicting the trajectory of severity of substance use from childhood to thirty years of age using a set of psychological and health characteristics. DESIGN: Boys (N = 494) and girls (N = 206) were recruited using a high-risk paradigm at 10-12 years of age and followed up at 12-14, 16, 19, 22, 25 and 30 years of age. MEASUREMENTS: At each visit, the subjects were administered a comprehensive battery to measure psychological makeup, health status, substance use and psychiatric disorder, and their overall harmfulness of substance consumption was quantified according to the multidimensional criteria (physical, dependence, and social) developed by Nutt et al. (2007). Next, high- and low- substance use severity trajectories were derived differentially associated with probability of segueing to substance use disorder (SUD). ML methodology was employed to predict trajectory membership. FINDINGS: The high-severity trajectory group had a higher probability of leading to SUD than the low-severity trajectory (89.0% vs 32.4%; odds ratio = 16.88, p < 0.0001). Thirty psychological and health status items at each of the six visits predict membership in the high- or low-severity trajectory, with 71% accuracy at 10-12 years of age, increasing to 93% at 22 years of age. CONCLUSION: These findings demonstrate the applicability of the machine learning methodology for detecting membership in a substance use trajectory with high probability of culminating in SUD, potentially informing primary and secondary prevention.

Correspondence of Pubertal Neuroendocrine and Tanner Stage Changes in Boys and Associations With Substance Use.

This study examined correspondence between timing (onset) and tempo (rate) of sexual maturation prospectively (average ages 11-16 years) measured by gonadal hormones and secondary sex characteristics (Tanner stage) using dual-process models, and associations of these measures with substance use (SU) involvement in boys at age 16 years (N = 534, 77.5% White/22.5% Non-White). All measures of timing were highly associated. Early Tanner stage timing often predicted slower increases in gonadal steroids, but not the reverse; patterns varied by ethnicity. Hormone and Tanner stage measures were similar earlier in development but diverged later in development. In White boys only, early timing of the pubertal rise in testosterone was associated with increased SU involvement, suggesting a physiological rather than psychosocial mechanism of association.

Association of cognitive function and liability to addiction with childhood herpesvirus infections: A prospective cohort study.

Liability to substance use disorder (SUD) is largely nonspecific to particular drugs and is related to behavior dysregulation, including reduced cognitive control. Recent data suggest that cognitive mechanisms may be influenced by exposure to neurotropic infections, such as human herpesviruses. In this study, serological evidence of exposure to human herpesvirus Herpes simplex virus Type 1 (HSV-1), cytomegalovirus (CMV), and Epstein-Barr virus (EBV) as well as Toxoplasma gondii was determined in childhood (age ~11 years) in 395 sons and 174 daughters of fathers with or without SUD. Its relationships with a cognitive characteristic (IQ) in childhood and with risk for SUD in adulthood were examined using correlation, regression, survival, and path analyses. Exposure to HSV-1, EBV, and T. gondii in males and females, and CMV in males, was associated with lower IQ. Independent of that relationship, EBV in females and possibly in males, and CMV and possibly HSV-1 in females were associated with elevated risk for SUD. Therefore, childhood neurotropic infections may influence cognitive development and risk for behavior disorders such as SUD. The results may point to new avenues for alleviating cognitive impairment and SUD risk.

Opioid medication misuse among unhealthy drinkers.

BACKGROUND: Combining opioid medications and alcohol has serious implications for patient health, including overdose. Information regarding those who use/misuse opioid medications and engage in unhealthy alcohol use is limited to pharmacological and epidemiological descriptions. This study presents opioid medication misuse and behavioral, mental, and physical health characteristics of persons filling opioid medications that are engaged in unhealthy alcohol use. METHODS: We conducted a cross-sectional survey at 5 community pharmacies in Southwestern, Pennsylvania among patients filling opioid medications. Respondents completed validated opioid medication misuse, alcohol use, illicit drug use, depression, posttraumatic stress disorder (PTSD), and physical health functioning assessments. We present univariate and multivariate statistics describing opioid medication misuse and health risks among those positive for unhealthy alcohol use. RESULTS: A total of 344 patients completed the survey (75.8% response). A total of 15.9% of respondents screened positive for opioid medication misuse, of whom 20.3% reported unhealthy alcohol use. Taking opioid medications too often was reported among a larger proportion of the sample with unhealthy alcohol use (34.3%) compared to those without (22.1%, p=0.04). Further, among respondents with unhealthy alcohol use, illicit drug use (Adjusted odds ratio [AOR]=12.14, 95% Confidence Interval [CI]=1.64-89.72) and PTSD (AOR=9.77, 95% CI=1.70-56.11) were associated with increased odds for opioid medication misuse. CONCLUSION: Results suggest respondents with unhealthy alcohol use had distinct health profiles, which may place them at risk for opioid misuse and adverse events, such as overdose. Continued research must work to further understand these relationships and identify intervention and treatment strategies.

Prescription Opioid Misuse Among Rural Community Pharmacy Patients: Pilot Study for Screening and Implications for Future Practice and Research.

BACKGROUND: Opioid misuse imposes a disproportionately heavy burden on individuals living in rural areas. Community pharmacy has the potential to expand and coordinate with health professionals to identify and intervene with those who misuse opioids. OBJECTIVE: Rural and urban community pharmacy patients were recruited in this pilot project to describe and compare patterns of opioid misuse. METHODS: We administered a health screening survey in 4 community pharmacies among patients filling opioid medications. Univariate statistics were used to assess differences in health characteristics and opioid medication misuse behaviors between rural and urban respondents. Multivariable statistics were used to identify risk factors associated with rural and urban opioid misuse. RESULTS: A total of 333 participants completed the survey. Participants in rural settings had poorer overall health, higher pain levels, lower education, and a higher rate of unemployment compared to patients in urban pharmacies. Rural respondents with illicit drug use (adjustable odds ratio [aOR]: 14.34, 95% confidence interval [CI] = 2.16-95.38), posttraumatic stress disorder (aOR: 5.44, 95% CI = 1.52-19.50), and ≤high school education (aOR: 6.68, 95% CI = 1.06-42.21) had increased risk for opioid misuse. CONCLUSIONS: Community pharmacy represents a promising resource for potential identification of opioid misuse, particularly in rural communities. Continued research must extend these findings and work to establish collaborative services in rural settings.

Risk and resistance perspectives in translation-oriented etiology research.

Risk for a disorder and the mechanisms that determine its elevation, risk factors, are the focus of medical research. Targeting risk factors should serve the goal of prevention and treatment intervention. Risk, however, is but one of the aspects of liability to a disorder, a latent trait that encompasses effects of all factors leading to or from the diagnostic threshold. The coequal but opposite aspect of liability is resistance to a disorder. The factors that increase resistance and thus enable prevention or recovery may differ from those that elevate risk. Accordingly, there are nontrivial differences between research perspectives that focus on risk and on resistance. This article shows how this distinction translates into goals and methods of research and practice, from the choice of potential mechanisms tested to the results sought in intervention. The resistance concept also differs from those of "resilience" and "protective factors," subsuming but not limited to them. The implications of the concept are discussed using substance use disorder as an example and substantiate the need for biomedical research and its translation to shift to the resistance perspective.

Item Response Theory Analysis to Assess Dimensionality of Substance Use Disorder Abuse and Dependence Symptoms.

BACKGROUND: Item response theory (IRT) based studies conducted on diverse samples showed a single dominant factor for DSM-III-R and DSM-IV substance use disorder (SUD) abuse and dependence symptoms of alcohol, cannabis, sedative, cocaine, stimulants, and opiates use disorders. IRT provides the opportunity, within a person-centered framework, to accurately gauge each person's severity of disorder that, in turn, informs required intensiveness of treatment. OBJECTIVES: The aim of this study was to determine whether the SUD symptoms indicate a unidimensional trait or instead need to be conceptualized and quantified as a multidimensional scale. METHODS: The sample was composed of families of adult SUD+ men (n=349), and SUD+ women (n=173), who qualified for DSM-III-R diagnosis of substance use disorder (abuse or dependence) and families of adult men and women who did not qualify for a SUD diagnosis (SUD- men: n=190, SUD- women: n=133). An expanded version of the Structured Clinical Interview for DSM-III-R (SCID) was administered to characterize lifetime and current substance use disorders. Item response theory methodology was used to assess the dimensionality of DSM-III-R SUD abuse and dependence symptoms. RESULTS: A bi-factor model provided the optimal representation of the factor structure of SUD symptoms in males and females. SUD symptoms are scalable as indicators of a single common factor, corresponding to general (non-drug-specific, common) liability to addiction, combined with drug-specific liabilities. CONCLUSIONS: IRT methodology used to quantify the continuous general liability to addiction (GLA) latent trait in individuals having SUD symptoms was found effective for accurately measuring SUD severity in men and women. This may be helpful for person-centered medicine approaches to effectively address intensity of treatment.

Longitudinal Modeling of the Association Between Transmissible Risk, Affect During Drug Use and Development of Substance Use Disorder.

OBJECTIVE: This longitudinal investigation examined the hypothesis that subjective experience during consumption of preferred drugs mediates the association of transmissible risk for substance use disorder (SUD) measured in childhood and adolescence, and SUD diagnosis in adulthood. Transmissible risk denotes the psychological characteristics having intergenerational continuity between parents and their biological children. METHODS: The transmissible liability index (TLI) was administered to four hundred eighty-three 10 to 12-year-old boys (baseline). Follow-up evaluations were conducted when the boys attained 12-14, 16, 19, and 22 years of age, using age-specific versions of the TLI. Frequency of consumption of the participants' three most preferred drugs, affect on an ordinary day, affect while under influence of the preferred substances, and presence/absence of current SUD were assessed at 22 years of age. RESULTS: Consumption frequency of preferred drugs among boys mediates the association of transmissible risk during childhood, and adolescence and SUD diagnosis in adulthood. Severity of negative affect on a drug-free day predicts frequency of consumption of preferred drugs, which, in turn, predicts severity of negative affect during the drug use event. Neither affect on a drug-free day nor affect during the drug use event mediates the association of transmissible risk and SUD. CONCLUSIONS: Affect on drug-free days, and while under influence of preferred substances, covary with consumption frequency; however, affect is not related to transmissible SUD risk or SUD outcome.

Review of hookah tobacco smoking among college students: policy implications and research recommendations.

BACKGROUND: About 30% of college students have smoked hookah tobacco. Although most students perceive this product to be innocuous and non-addictive, hookah tobacco increases the risk for disease and nicotine dependence. Currently, the US Food and Drug Administration (FDA) does not regulate the manufacture, distribution, or sale of hookah tobacco. OBJECTIVE: Empirical literature pertaining to hookah tobacco smoking is reviewed with a focus on the implications for regulatory policy. METHODS: PubMed, PsycINFO, and Scopus databases were searched to locate articles published in English. The literature search combined several key words including "hookahs", "college", "advertising", "health effects", and "health policy". RESULTS: Smoking hookah tobacco may play a role in the initiation of smoking among tobacco-naïve college students and may portend persistent smoking among those who have smoked cigarettes. College students are typically nondaily, social smokers. They do not perceive that their heightened risk for tobacco diseases and nicotine dependence relates to their smoking behavior. However, few public health messages target college-age adults to counter media messages that endorse hookah tobacco smoking. CONCLUSION: Given that the FDA is not authorized to ban specific tobacco products, policy actions should focus on the development of effective risk communication strategies that target college-age adults and on limiting the accessibility of hookah tobacco products to these adults. Accordingly, a research agenda that would inform these policy actions is proposed.

Detecting initiation or risk for initiation of substance use before high school during pediatric well-child check-ups.

BACKGROUND: Youth substance use (SU) is prevalent and costly, affecting mental and physical health. American Academy of Pediatrics and Affordable Care Act call for SU screening and prevention. The Youth Risk Index(©) (YRI) was tested as a screening tool for having initiated and propensity to initiate SU before high school (which forecasts SU disorder). YRI was hypothesized to have good to excellent psychometrics, feasibility and stakeholder acceptability for use during well-child check-ups. DESIGN: A high-risk longitudinal design with two cross-sectional replication samples, ages 9-13 was used. Analyses included receiver operating characteristics and regression analyses. PARTICIPANTS: A one-year longitudinal sample (N=640) was used for YRI derivation. Replication samples were a cross-sectional sample (N=345) and well-child check-up patients (N=105) for testing feasibility, validity and acceptability as a screening tool. RESULTS: YRI has excellent test-retest reliability and good sensitivity and specificity for concurrent and one-year-later SU (odds ratios=7.44, CI=4.3-13.0) and conduct problems (odds ratios=7.33, CI=3.9-13.7). Results were replicated in both cross-sectional samples. Well-child patients, parents and pediatric staff rated YRI screening as important, acceptable, and a needed service. CONCLUSIONS: Identifying at-risk youth prior to age 13 could reap years of opportunity to intervene before onset of SU disorder. Most results pertained to YRI's association with concurrent or recent past risky behaviors; further replication ought to specify its predictive validity, especially adolescent-onset risky behaviors. YRI well identifies youth at risk for SU and conduct problems prior to high school, is feasible and valid for screening during well-child check-ups, and is acceptable to stakeholders.

Temperament disturbances measured in infancy progress to substance use disorder 20 years later.

OBJECTIVE: This prospective study determined whether temperament before two years of age predicts transmissible risk for substance use disorder (SUD) up to a decade later and SUD outcome in adulthood. METHOD: Boys between 10 and 12 years of age (N = 482) were tracked to age 22. The previously validated transmissible liability index (TLI) was administered at baseline, and temperament prior to two years of age was retrospectively rated. The Structured Clinical Interview for DSM-III-R (SCID) was administered to document presence/absence of SUD for parents at baseline and sons at age 22. RESULTS: Path analysis revealed that number of parents with SUD predicted severity of temperament disturbance in their sons which in turn predicted TLI score at age 10-12, presaging SUD. Temperament before age two did not predict SUD at age 22. The association between number of SUD parents and transmissible risk was mediated by severity of temperament disturbance. CONCLUSION: Temperament disturbance in early childhood, reflecting quality of behavioral and emotion regulation, comprise psychological antecedents of transmissible risk for SUD.

Psychological dysregulation during adolescence mediates the association of parent-child attachment in childhood and substance use disorder in adulthood.

OBJECTIVE: This prospective study tested the hypothesis that psychological dysregulation in mid-adolescence (age 16) mediates the association between parent-child attachment in late childhood (age 10-12) and development of substance use disorder (SUD) in adulthood (age 22). METHOD: The Youth Attachment to Parents Scale (YAPS) was developed in 10-12-year-old boys and girls (N = 694) at baseline residing in western Pennsylvania. Psychological dysregulation was measured by the neurobehavior disinhibition trait. Substance use was assessed at ages 10-12, 12-14, 16 and 19. SUD was diagnosed at age 22 using the Structured Clinical Interview for DSM Disorders. The mediation of parent-child attachment and SUD by neurobehavior disinhibition was tested separately for mothers and fathers while controlling for baseline substance use. RESULTS: Psychological dysregulation mediates the association between attachment to mothers and SUD, and partially mediates the association between attachment to fathers and SUD. Significant mediation effects remains after controlling for baseline substance use. CONCLUSION: Optimal prevention of SUD should include ameliorating both psychological dysregulation predisposing to SUD and quality of the parent-child relationship.

Longitudinal associations from neurobehavioral disinhibition to adolescent risky sexual behavior in boys: direct and mediated effects through moderate alcohol consumption.

PURPOSE: This longitudinal study tested the hypothesis that neurobehavioral disinhibition (ND) in childhood, mediated by alcohol use, portends risky sexual behavior (number of sexual partners) in midadolescence. METHODS: Participants were 410 adolescent boys. Neurobehavioral disinhibition was assessed at 11.3 years of age. Frequency and quantity of alcohol use on a typical drinking occasion were assessed at 13.4 years of age at first follow-up, and sexual behavior at 16.0 years at second follow-up. RESULTS: Quantity of alcohol consumed on a typical drinking occasion, but not frequency of alcohol use, mediated the relation between ND and number of sexual partners. CONCLUSIONS: These findings indicate that number of sexual partners in midadolescence is predicted by individual differences in boys' psychological self-regulation during childhood and moderate alcohol consumption in early adolescence, and that ND may be a potential target for multi-outcome public health interventions.