Missing Opportunities in the Screening of Alcohol Use and Problematic Use, and the Provision of Brief Advice and Treatment Information Among Individuals With Alcohol Use Disorder.

OBJECTIVES: The aim of this study was to identify sociodemographic and substance-related factors associated with being screened, receiving advice or treatment information from healthcare providers, among individuals who met the criteria for the past 12-month alcohol use disorder (AUD). METHODS: The 2015-2019 National Survey on Drug Use and Health data were analyzed to identify factors associated with being (1) asked about alcohol used among adults with AUD, who visited a healthcare provider within the past 12 months, and were not receiving AUD treatment (sample 1, n = 13,321); (2) asked about problematic use; (3) advised to reduce consumption; and (4) offered alcohol treatment information, among those in sample 1 who were asked about their use (n = 6,905). RESULTS: About half (52.9%) in sample 1 were asked about their alcohol use. Among them, 21.6% were asked about problematic use, 17.7% were advised to reduce alcohol consumption, and 7.6% were offered information. The odds of being asked about alcohol use among male participants were 0.72 times the odds of female participants; however once asked, male participants showed greater odds of being asked about problematic use (adjusted odds ratio [aOR] = 1.53, 95% confidence interval [CI] = 1.29-1.82), advised to reduce consumption (aOR = 1.64, 95% CI = 1.24-2.16), and offered treatment information (aOR = 1.77, 95% CI = 1.34-2.35). As compared with non-Hispanic White participants, other racial/ethnic groups were less likely to be asked about alcohol use; however, once asked, no differences were observed for other outcomes. CONCLUSIONS: Significant gaps in the screening and provision of advice or treatment information were identified, particularly for racial/ethnic and sex subgroups. Reducing barriers for effective screening could help address AUD-related disparities.

The independent and joint effect of socioeconomic status and Multiracial status on the prevalence and frequency of substance use and depression among U.S. adolescents.

AIM: While the United States is becoming increasingly Multiracial, much is still unknown about the behavioral health of these growing new generations of Multiracial Americans. To narrow this research gap, this study investigated the prevalence/frequency of substance use and major depressive episodes [MDE] among non-Hispanic Multiracial [NHM] adolescents compared to their non-Hispanic White [NHW] counterparts and whether racial differences vary by socioeconomic status. METHODS: We analyzed data from the 2015-2019 National Survey on Drug Use and Health (N = 3,645 NHM and 34,776 NHW adolescents aged 12-17). Average Marginal Effects derived from logistic regression and negative binomial regression were used to examine (1) differences in six outcomes (past-month use of alcohol, cannabis, or drugs other than cannabis [DOTC], past-year MDE, and the frequency of alcohol and cannabis use among past-month users) by Multiracial status; (2) the moderation effect of family income on these associations. RESULTS: Compared to high-income NHW adolescents, high-income NHM adolescents reported significantly higher prevalence of past-month cannabis and DOTC use, and past-year MDE. No racial differences were observed at other income levels. Furthermore, moderation analyses indicated that the effect of Multiracial status on MDE was larger in the highest income group compared to the lowest income group. CONCLUSION: Our findings suggested that NHM adolescents, particularly those from high income families, exhibit increased prevalence of drug use and depression than NHW adolescents. As the US becomes more diverse, there is a need to further examine the social and structural factors driving the identified racial differences.

Exploring the associations between serious psychological distress and the quantity or frequency of tobacco, alcohol, and cannabis use among pregnant women in the United States.

Serious Psychological Distress (SPD) and prenatal exposure to substances are associated with adverse outcomes for pregnant individuals and their developing offspring. This study aims to examine the relationship between SPD and quantity, or frequency of substance use among pregnant women in the United States (US). Descriptive and negative binomial regression analyses of the 2015-2019 National Survey on Drug Use and Health (NSDUH) were conducted among 3373 pregnant women (18 to 44 years old) to examine the association between SPD and (1) average number of cigarettes smoked in the past 30 days, (2) number of days of binge drinking in the past 30 days, and (3) number of days of cannabis use in the past 30 days. About 6% of the study population experienced SPD in the past 30 days. Compared to pregnant women who did not report SPD, pregnant women experiencing SPD showed greater rates in the number of cigarettes smoked during the past 30 days (IRR = 2.1, 95%CI = 1.1, 4.5), the number of days of binge drinking in the past 30 days (IRR = 5.1, 95%CI = 1.7, 15.4), and the number of days of cannabis use in the past 30 days (IRR = 2.9, 95%CI = 1.3, 6.5). Our results extend findings from prior research by documenting an association between SPD and the quantity and frequency of substance use among pregnant women in the US. Individual and structural interventions addressing SPD and/or substance might help reduce the impact of these comorbid conditions on expectant parents and their offspring.

Socio-demographic Correlates of Electronic Cigarette and Cannabis Co-use Among Naïve and Tobacco Adolescent Users.

The increasing co-use of e-cigarette and cannabis among youth has become a public health challenge. The present analyses aimed to identify prevalence and correlates of past-month co-use of e-cigarettes and cannabis among adolescents with and without prior tobacco use. For this panel study, 5 years of cross-sectional data (2014-2018) were used from 8th, 10th-, and 12th-grade adolescents in the Monitoring the Future study, a nationally representative survey of U.S. students. We examined prevalence and correlates of e-cigarettes and cannabis co-use among adolescents who had ever used tobacco (n = 15,136) and among those who had never used tobacco (n = 56,525). Adolescents who had ever used tobacco showed significantly higher rates of e-cigarettes and cannabis co-use compared to adolescents who had never used tobacco (17.1% vs. 2.2%, p < 0.01). Results from adjusted multinomial regression models showed that overall, Black and Hispanic adolescents tobacco users were less likely than Whites to co-use e-cigarettes and cannabis. Black adolescents who had used tobacco previously were more likely than Whites to have used cannabis exclusively. Black and Hispanic tobacco-naïve adolescents were more likely than Whites to have used cannabis exclusively, while Black tobacco-naïve adolescents were less likely to use e-cigarettes exclusively or co-use e-cigarettes and cannabis. Overall, males and twelve graders were more likely than males and eight graders to use or co-use cannabis or e-cigarettes, respectively. Among lifetime tobacco users, higher levels of parental education were associated with co-use of cannabis and e-cigarettes. Racial/ethnic-specific patterns of e-cigarette and cannabis co-use depends on adolescents' prior experience with tobacco. The higher rates of use and co-use of e-cigarettes and cannabis among prior tobacco users suggest that targeted interventions are needed for this group. Identified socio-demographic groups at higher risk of co-use of e-cigarettes and cannabis need to be further studied.

An exploratory follow-up study of cannabis use and decision-making under various risk conditions within adolescence.

OBJECTIVE: Studies examining the associations between decision-making (DM) and cannabis use (CU) often use cross-sectional, adult samples, and composite scores or single tasks to assess DM. The present study explored differential associations between tasks assessing DM under various risk conditions (i.e., ambiguous vs. explicit; gain vs. loss) and CU frequency, CU-related problems, and CU disorder (CUD) onset across a 2-year period within adolescence. METHOD: Adolescents (n = 401, 90% Hispanic) aged 14-17 at baseline participated in five biannual assessments. CU frequency, CU-related problems, and CUD were assessed using the Drug Use History Questionnaire, Marijuana Problems Scale, and Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, fourth edition, respectively. DM was assessed using the Iowa gambling task (IGT), Game of Dice Task (GDT), and Cups Task. We used latent growth curve modeling to examine bidirectional associations between DM and escalation in CU frequency and CU-related problems, and discrete time survival analyses to determine whether baseline performance across DM tasks predicted CUD onset. RESULTS: Baseline performance on the GDT predicted greater escalation in CU (ß = .200, p = .008) and CU-related problems (ß = .388, p = .035). No other significant associations were found. CONCLUSIONS: DM under explicit risk may be a more salient risk factor for escalating CU and CU-related problems than DM under ambiguous risk. Deficits in executive functioning could partially explain the results. Findings suggest that neurocognitive development should inform prevention and intervention efforts focused on reducing CU. Given the exploratory nature of the present study, replication of findings is needed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Polysubstance use profiles among US adults using Kratom (Mitragyna speciosa): A latent class analysis using The National Survey on Drug Use and Health (NSDUH).

BACKGROUND AND OBJECTIVES: Kratom (Mitragyna speciosa) use is associated with polysubstance use (PSU) and use disorders. However, additional research on PSU heterogeneity in populations using this novel psychoactive substance is necessary. The authors investigated patterns of past 12-month PSU among US adults reporting past 12-month use of kratom and at least one additional substance. METHODS: Latent class models were fit using 2019 National Survey on Drug Use and Health (NSDUH) data which was collected from 412 US adults reporting past 12-month use of kratom and at least one of 11 additional substances. RESULTS: Three distinct profiles were identified: "marijuana/alcohol/tobacco" (63.3%), "marijuana/alcohol/tobacco + psychedelics" (19.3%), and "marijuana/alcohol/tobacco + psychedelics/heroin/prescriptions" (17.4%). CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: This is the first epidemiological study in which a latent class analysis was used to identify unique PSU profiles among US adults using kratom and other substances. Understanding the profiles of people using kratom in relation to the use of other drugs might help guide screening interventions, treatment needs, and policy.

Screening the "Invisible Population" of Older Adult Patients for Prescription Pain Reliever Non-Medical Use and Use Disorders.

Background: In the United States, the number of older adults reporting non-medical use of prescription pain relievers (NMUPPR) between 2015 and 2019 has remained constant, while those meeting criteria for opioid use disorders (OUDs) between 2013 and 2018 increased three-fold. These rates are expected to increase due to increased life expectancy among this population coupled with higher rates of substance use. However, they have consistently lower screening rates for problematic prescription pain reliever use, compared to younger cohorts. Objectives: This commentary reviewed trends in older adult NMUPPR and OUDs and reviewed several available screening tools. We then considered reasons why providers may not be screening their patients, with a focus on older adults, for NMUPPR and OUDs. Finally, we provided recommendations to increase screenings in healthcare settings. Results: Low screening rates in older adult patients may be due to several contributing factors, such as providers' implicit biases and lack of training, time constraints, and comorbid conditions that mask NMUPPR and OUD-related symptoms. Recommendations include incorporating more addiction-related curricula in medical schools, encouraging participation in CME training focused on substance use, attending implicit bias training, and breaking down the silos between pharmacy and geriatric, addiction, and family medicine. Conclusions: There is a growing need for older adult drug screenings, and we have provided several recommendations for improvement. By increasing screenings among older populations, providers will assist in the identification and referral of patients to appropriate and timely substance use treatment and resources to ultimately ameliorate the health of older adult patients.

Clinical Decision Making by Medical Marijuana Physicians in Florida: A Qualitative Assessment.

Medical marijuana (MMJ) was legalized in November 2016 with the passing of Amendment 2 in the state of Florida. Since the legalization, many studies have been conducted to understand the direct effect medical marijuana has on specific medical conditions. Unlike most allopathic drugs, medical marijuana does not target single ailments or specific conditions and does not follow precise recommending guidelines. There is scarce knowledge on how patient characteristics, including medical conditions, affect a physician's direct recommendations and registry limits. To obtain insight on the effect patient characteristics have on the clinical decision-making process, we conducted ten qualitative interviews of medical marijuana physicians who are certified to order medical marijuana for patients in Florida. Interview topics ranged from typical daily practice to specific recommendations for patient histories. Each interview was transcribed and thematically analyzed. Five major patient characteristics that influence a physician's recommendation emerged from the interviews: patient medical history, co-medications, lifestyle, marijuana experience level and counter-indications. Each category was analyzed further to understand how the characteristics influenced the practice of recommending and ordering product. Physicians emphasized the equivalent importance of reviewing a patient's medical history, lifestyle, and past marijuana experiences while also expressing the need to look holistically at the individual patient. Instead of the characteristics determining what the physician recommends for the patient and orders through the registry, the characteristics dictate the education given to the patient so that the patient may lead and determine their own individual care.

Mutual Help Group Participation for Alcohol and Drug Problems: Uncovering Latent Subgroups.

Objective: This report aims to identify US mutual help group (MHG) participants' psycho-socio-behavioral profiles. Method: We used data from the 2015-2018 National Survey on Drug Use and Health and the sample included 1022 adults with past-year substance use disorders (SUD). We conducted a latent class analysis to identify subgroups of MHG participants and estimated multinomial logistic regression models to examine the associations between sociodemographic/intrapersonal characteristics and class membership. Results: Analyses identified three latent classes. Class 1 (Low-Risk group, 54%) reported low risks in all correlates except for serious psychological distress (SPD, 33%). Class 2 (Psychological Distress group, 30%) demonstrated high risks of major depressive episodes (86%) and SPD (93%). Class 3 (Criminal Justice System Involvement group, 16%) showed high involvement in arrests (100%) and drug-related arrests (67%) and moderate risks for SPD (54%) and behavioral problems, e.g., drug selling (46%) and theft (35%). Compared to Class 1, Class 2 was more likely to be female, out of the labor force, and to show high risk propensity, and Class 3 was more likely to have lower education and drug use disorders. Class 3 was also less likely to be older, belong to the "other" racial/ethnic category, have lower English proficiency, and report alcohol use disorder. Conclusions: The three subgroups of the US MHG participant population illustrate the complex and heterogeneous psycho-social-behavioral profiles of MHG participants with SUD. MHG referral's effectiveness may be augmented by tailoring it to the patient/client's specific psycho-socio-behavioral profile.

Racial-ethnic Differences in Reasons for Misuse of Prescription Medications Among US Adults.

OBJECTIVES: This study aims to investigate racial-ethnic differences in reasons for misuse of prescription medications among a nationally representative sample of US adults. METHODS: We analyzed data from the 2015-2019 National Surveys on Drug Use and Health. The study population includes US adults (18-49 years old) who reported misuse of 3 types of prescription drugs (stimulants [n = 6139], sedatives and tranquilizers [n = 5643], and pain relievers [n = 8780]) for 3 reasons: medical-only (eg, to help with pain), recreational-only (eg, to get high), or combined medical and recreational reasons. Multinomial logistic regressions assessed the association between reasons of misuse of prescription medications and self-identified race-ethnicity. RESULTS: Misuse of the 4 types of prescription medications was primarily motivated by medical reasons (63%-80%). Compared to non-Hispanic Whites, non-Hispanic Blacks (nHB), and Hispanics (H) were less likely to report misuse of pain relievers for combined (nHB: adjusted relative risk ratio [aRRR] = 0.6, 95% confidence interval [CI]: 0.4, 0.7; H; aRRR = 0.7, 95% CI: 0.5, 0.9) or recreational reasons (nHB: aRRR = 0.8, 95% CI: 0.6, 1.0; H; aRRR = 0.7, 95% CI: 0.6, 0.9) rather than medical-only reasons. The odds of misuse of sedatives and tranquilizers for recreational-only reasons as opposed to medical-only reasons were higher among nHB (aRRR = 1.9, 95% CI: 1.3, 2.7) and H (aRRR = 1.9, 95% CI: 1.4, 2.4) than among non-Hispanic Whites. CONCLUSIONS: The increased misuse of prescription pain relievers for medical reasons among racial-ethnic minority groups demonstrates a continued need to investigate underlying structural factors driving these behaviors. The higher odds of sedative and tranquilizer misuse for recreational purposes among racial-ethnic minority groups warrant further investigation.

Kratom Use Among U.S. Adolescents: Analyses of the 2019 National Survey on Drug Use and Health.

BACKGROUND: Kratom (Mitragyna speciosa) is an opioid-like psychoactive substance not approved by the U.S. Food and Drug Administration that could be used due to its euphoric, stimulant, and analgesic effects. Kratom is gaining popularity in the U.S. and becoming a reason of concern among pediatricians. METHODS: Data from the 2019 National Survey on Drug Use and Health were analyzed to estimate the prevalence and identify correlates of lifetime and past 12-month kratom use among 13,397 U.S. adolescents. Multivariable logistic regression models were conducted to assess the associations of interest. RESULTS: Lifetime and past 12-month prevalence of kratom use was .44% (95% confidence interval [CI] .32-.60) and .27% (95% CI .18-.40), respectively. Past 12-month cigarette use was associated with lifetime kratom use (adjusted odds ratio 2.60, 95% CI 1.07-6.35). Past 12-month cannabis use was associated with past 12-month kratom use (adjusted odds ratio 2.48, 95% CI 1.15-5.35). CONCLUSIONS: This first report on the epidemiology of adolescent kratom use provides a baseline to assess kratom use trends in future years and identify potential correlates of use among adolescents.

Risky decision-making as an antecedent or consequence of adolescent cannabis use: findings from a 2-year longitudinal study.

BACKGROUND AND AIMS: Although poor decision-making (DM) has been correlated with problematic cannabis use (CU), cross-sectional designs make it difficult to determine whether poor DM represents an antecedent and/or consequence of CU. The current study measured bidirectional associations between CU and DM among adolescents over 2 years and compared these findings to those observed with episodic memory, which is consistently reported as a consequence of CU. We also measured the role of DM as a risk factor for cannabis use disorder (CUD) onset. DESIGN: Two-year longitudinal study with five bi-annual assessments. PARTICIPANTS: Participants were 401 adolescents aged 14-17 years at baseline. SETTING: Miami, Florida, USA. MEASUREMENTS: CU frequency and CUDs were assessed at each time-point through the Drug Use History Questionnaire and Structured Clinical Interview for DSM-IV, respectively. Neurocognition was assessed at odd time-points throughout the Iowa Gambling Task, Game of Dice Task and Cups Task [decision-making (DM)] and the Wechsler Memory Scale IV and California Verbal Learning Test II (episodic memory). We used latent growth curve modeling to examine bidirectional influences between CU and neurocognition over time. We applied discrete time survival analyses to determine whether baseline DM predicted CUD onset. FINDINGS: Greater lifetime CU frequency was associated with poorer episodic memory at baseline (bs = -14.84, -16.44, Ps = 0.038, 0.021). Greater CU escalation predicted lesser gains in immediate episodic memory (b = -0.05, P = 0.020). Baseline DM did not predict CU escalation (b = 0.07, P = 0.421), nor did escalation in CU predict changes in DM (b = 0.02, P = 0.352). Baseline DM also did not predict CUD onset (adjusted OR = 1.01, 95% confidence interval = 0.98-1.06). CONCLUSIONS: This study replicates findings that poorer episodic memory in adolescents appears to be a consequence of cannabis use, even among adolescents at earlier stages of use. Poor decision-making does not appear to be either a consequence of or a risk factor for escalating cannabis use or onset of cannabis use disorder among adolescents.

Prevalence and drug use correlates of extra-medical use of prescription medications for sleep among adults in the United States: Results of the 2015-2018 National Survey on Drug Use and Health.

BACKGROUND: This paper examines the epidemiology of extra-medical use of prescription medications for sleep among a nationally representative sample of U.S. adults. METHODS: We analyzed data from the 2015-2018 National Surveys on Drug Use and Health. The sample includes 3410 U.S. adults who reported extra-medical use of prescription medications for sleep. Multinomial logistic regression models identified correlates of type of drug used [i.e., sedatives and/or tranquilizers-only (ST-only), prescription pain relievers-only (PPR-only), or sedatives, tranquilizers, and prescription pain relievers (ST + PPR)], and logistic regression models identified correlates of reasons for extra-medical use (i.e., sleep-only vs. sleep and recreational). RESULTS: About 60% (95%CI = 58.9, 63.5) of the sample reported extra-medical use of ST-only, followed by PPR-only (29.9%, 95%CI = 27.5, 32.5), and ST + PPR (8.9%, 95%CI = 7.7, 10.4). Recreational use was reported by 28.4% (95% CI = 26.5, 30.4) of the sample. The odds of extra-medical use of PPR-only (aRRR = 3.1, 95%CI = 2.1, 4.5) and ST + PPR (aRRR = 1.9, 95%CI = 1.2, 3.1) as opposed to ST-only, were greater among Non-Hispanic Blacks than Non-Hispanic Whites. Compared to non-alcohol users, those with a past-12 months diagnosis of alcohol use disorder were more likely to use ST + PPR rather than ST-only (aIRR = 2.0, 95%CI = 1.1, 3.7). Non-Hispanic Blacks (aOR = 0.6, 95%CI = 0.4, 08) and individuals living in rural areas (aOR = 0.5, 95%CI = 0.3, 09) were less likely to report extra-medical use of prescription medications for recreational reasons than Non-Hispanic Whites and those residing in large metropolitan areas, respectively. CONCLUSIONS: Extra-medical use of PPR-only and ST + PPR as an aid to sleep, is prevalent among Non-Hispanic Blacks, young adults, and those residing in rural areas. Most individuals reported that extra-medical use of prescription medications was primarily motivated by sleep reasons, rather than by sleep and recreational reasons. Potential interventions include access to sleep treatments, education on the effectiveness and risk associated with extra-medical use and co-use of prescription medications for sleep, and research on sleep-related disparities.

Shared Environmental Influences on Electronic Cigarette Use Among Adolescent and Young Adult Females.

INTRODUCTION: Electronic cigarettes are now the most commonly used form of tobacco product among youth in the United States. Current evidence suggests that although e-cigarettes are perceived as less harmful and preferred over combustible cigarettes by adolescents, adolescents who try e-cigarettes are at greater risk of transitioning to combustible cigarettes. The genetic and environmental contributions to liability for e-cigarette use have not yet been examined using a behavioral genetic design. METHODS: Behavioral genetic models of lifetime and current e-cigarette use and friends who use e-cigarettes were examined among female monozygotic and dizygotic twins. RESULTS: A total of 41 female twin pairs (65.9% monozygotic twins; age = 19.7, SD = 1.6) with complete data on the study variables were included in the present analyses. The majority of the sample (68.1%) had at least some friends who use e-cigarettes. Additive genetic effects on e-cigarette use were not present, but the shared environment explained 98.7% of the variance in lifetime e-cigarette use, 96.6% in current e-cigarette use, and 94.9% in affiliation with friends who use e-cigarettes. CONCLUSION: This first study on the behavioral genetics of e-cigarette use among adolescents and young adults suggest that environmental factors shared by twins within a family seem to play a predominant role in the initial stages of e-cigarette use, a finding that is consistent with what has been found for tobacco. The findings emphasize the importance of continuing population-based tobacco control interventions to reduce the burden of e-cigarette use among adolescents. IMPLICATIONS: The shared environment significantly influences the initiation and regular use of electronic cigarettes and affiliation with friends who use electronic cigarettes among adolescent and young adult females. These findings underscore the importance of formulating preventive interventions that mitigate the social effects of familial influences on e-cigarette use through social skills training, education on harms of e-cigarettes for young people, or altering social norms regarding initiation of novel tobacco products.

Perceived Risk of Weekly Cannabis Use, Past 30-Day Cannabis Use, and Frequency of Cannabis Use Among Pregnant Women in the United States.

BACKGROUND: While accumulated evidence has shown that the prevalence of cannabis use among pregnant women in the US has increased in recent years, little is known about the specific subpopulations affected. The aim of this study was to estimate the prevalence and correlates of the perceived risk of weekly cannabis use, past 30-day cannabis use, and frequency of past 30-day cannabis use among US pregnant women. METHODS: We analyzed data from 2,247 pregnant women 14 to 44 years of age surveyed in the 2015 to 2017 cross-sectional National Survey on Drug Use and Health. Analyses account for the sampling design. Primary outcomes included perceived risk of weekly cannabis use, past 30-day cannabis use, and frequency of cannabis use. We conducted multivariable logistic and negative binomial regression models to assess the associations between the primary outcomes and multiple correlates. RESULTS: Among US pregnant women, 21.6% (95% CI=19.4, 23.8) did not perceive any risk associated with weekly cannabis use, 5.3% (95% CI=4.2, 6.5) used cannabis in the past 30 days, and among past-month users, the average number of days of use was 15.6 (95% CI=13.5, 17.7). Pregnant women living below the poverty line were both more likely to perceive no risk of weekly cannabis use (aOR=1.8; 95% CI=1.3, 2.5) and use cannabis more often in the past 30 days (aOR=2.9; 95% CI=1.5, 5.7) than pregnant women within an income bracket of more than two times the federal poverty threshold. Age, race, trimester of pregnancy, co-use of tobacco and/or alcohol were also associated with these outcomes. CONCLUSION: Younger age, living in poverty, early trimester of pregnancy, and co-use of tobacco and/or alcohol increased the odds of cannabis use among pregnant women. As cannabis legalization spreads and cannabis use is increasingly perceived as safe, there is a growing need for research to determine the reasons why women in the identified at-risk subgroups are using cannabis during pregnancy.

'Time to first tobacco cigarette soon after waking' occurs more often among underage newly incident smokers in the United States, 2004-2017.

AIMS: Time to first cigarette (TTFC) after waking is a highly regarded and readily measured manifestation of a tobacco dependence process. We aim to estimate short TTFC as it occurs very soon after the onset of cigarette smoking (CS) in a community sample of newly incident smokers, all 12-21 years of age, and to study risk variation with the age of CS onset. METHODS: United States National Surveys on Drug Use and Health, 2004-2017, drew large nationally representative samples of 12-to-21-year-old community residents, and used computerized self-interviews to measure tobacco cigarette smoking, the Fagerstrom TTFC construct, and related variables. A 'short' TTFC was defined as smoking the first cigarette after waking up within 30 min vs. 'long' TTFC or smoking more than 30 min. We studied 8188 newly incident smokers, all assessed within six months after the first puff. Estimated age-specific cumulative incidence proportions (CIP) and odds ratios (OR) are estimated and compared, with due attention to complex survey design and weights. RESULTS: Among underage newly incident smokers (12-17 years old), an estimated 5.2% experienced short TTFC within 6 months after CS onset (95% CI = 4.4%, 6.2%), versus 3.7% for older new smokers (18-21 years; 95% CI = 2.8%, 4.6%). Underage smokers are 1.5 times more likely to develop short TTFC compared to older initiates (95% CI = 1.1, 2.1). No male-female variations are seen, but exploratory analysis disclosed findings that involve Census-defined race-ethnicity subgroups. Non-Hispanic African-American initiates are twice as likely to develop short TTFC, and Hispanic initiates are less likely to develop short TTFC, as compared with non-Hispanic White smokers. CONCLUSIONS: Based on US community samples our study offers new evidence about TTFC formation observed within six months after the first puff when cigarette smoking starts before age 18 years.

Sex differences in driving under the influence of cannabis: The role of medical and recreational cannabis use.

BACKGROUND: Existing evidence suggest that cannabis may impair driving and is the most prevalent drug identified in drivers. Males exhibit an excess risk for driving under the influence of drugs or alcohol compared to females. We assessed sex differences in the association between the reason for cannabis use (medical, recreational, or both) and driving under the influence of cannabis (DUIC). METHODS: A sample of 17,405 past 12-month cannabis users (18 + years old) were analyzed from the 2016-17 National Survey on Drug Use and Health. Multivariable logistic regression was used to assess the interaction of sex and reason for cannabis use on DUIC using predicted probabilities. RESULTS: Among cannabis users in the sample, 88.1% used for recreational reasons, 7.8% used for medical reasons, and 4.1% used for medical and recreational reasons. The probability of DUIC was as low as 20% among female medical only users, and as high as 40% among male combined medical and recreational users. Females showed more similar probabilities of DUIC across reasons of use (range 20% to 25%s) than males (range 28% to 40%). The difference in the probability of DUIC between combined medical and recreational users and recreational only users was significantly greater among males than among females (Δ 0.1, p < 0.05). CONCLUSIONS: The observed effects of sex and reasons for cannabis use on DUIC suggests a need for targeted educational interventions, particularly among males reporting combined medical and recreational marijuana use.

Decision-Making as a Latent Construct and its Measurement Invariance in a Large Sample of Adolescent Cannabis Users.

OBJECTIVE: Relative to the vast literature that employs measures of decision-making (DM), rigorous examination of their psychometric properties is sparse. This study aimed to determine whether three measures of DM assess the same construct, and to measure invariance of this construct across relevant covariates. METHOD: Participants were 372 adolescents at risk of escalation in cannabis use. DM was assessed via four indices from the Cups Task, Game of Dice Task (GDT), and Iowa Gambling Task (IGT). We used confirmatory factor analysis to assess unidimensionality of the DM construct, and moderated nonlinear factor analysis (MNLFA) to examine its measurement invariance. RESULTS: The unidimensional model of DM demonstrated good fit. MNLFA results revealed that sex influenced mean DM scores, such that boys had lower risk-taking behaviors. There was evidence of differential item functioning (DIF), such that IQ and age moderated the IGT intercept and GDT factor loading, respectively. Significant effects were retained in the final model, which produced participant-specific DM factor scores. These scores showed moderate stability over time. CONCLUSIONS: Indices from three DM tasks loaded significantly onto a single factor, suggesting that these DM tasks assess a single underlying construct. We suggest that this construct represents the ability to make optimal choices that maximize rewards in the presence of risk. Our final DM factor accounts for DIF caused by covariates, making it comparable across adolescents with different characteristics. (JINS, 2019, 25, 661-667).

Adolescent cannabis use and its associations with decision-making and episodic memory: Preliminary results from a longitudinal study.

OBJECTIVE: Impairments in neurocognitive functioning, including memory and executive functions, have been identified among adult cannabis users; however, less is known about the effects of cannabis use (CU) among adolescent users. Delineating the directionality of associations between CU and neurocognition has been restricted due to the relatively few longitudinal studies examining this question. As such, we examined whether decision-making prospectively predicted CU, and whether increases in CU were associated with changes in decision-making and episodic memory among a sample consisting predominantly of adolescent cannabis users. METHOD: Adolescents (n = 401), aged 14-17 at baseline, completed 3 (biannual) assessments across a 1-year period. Latent growth curve analyses in structural equation models were conducted to examine potential associations between decision-making and growth in CU, and associations between change in CU and change in decision-making or episodic memory performance. RESULTS: Significant cross-sectional associations were observed between greater CU and poorer decision-making and episodic memory performance (p < .05), consistent with our hypotheses and prior findings. However, decision-making performance did not predict change in CU frequency across 1 year. Neither was change in decision-making associated with changes in CU. However, increasing cannabis use was associated with worsening immediate (but not delayed) episodic memory. CONCLUSIONS: Our findings suggest that poorer decision-making does not put teens at relatively early stages of cannabis use at risk for further escalation in use over one year. However, increasing cannabis use over the same period was associated with declines in immediate memory. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Risky sexual behavior among adolescents: The role of decision-making, problems from cannabis use and externalizing disorder symptoms.

INTRODUCTION: Previous research has demonstrated that externalizing symptoms, cannabis use problems, and poor decision-making abilities are each independently related to risky sexual behavior (RSB). However, few studies have examined the joint effect of these factors on RSB among a sample of adolescents. METHODS: The current study addresses this gap in the literature by examining how externalizing disorder symptoms, cannabis use, and decision-making abilities interact to predict RSB among a sample of adolescents (n = 204; Mage = 15.5) at-risk for escalation in cannabis use. Poisson regression was used for all analyses, and simple slope difference tests were used for all post-hoc analyses. RESULTS: A greater number of externalizing symptoms, more problems from cannabis use, and more risk disadvantageous choices on the Cups Task (CT) total trials and more risk disadvantageous choices on the CT-gain trials predicted greater RSB endorsement. Findings also highlight significant interactions between cannabis use problems and CT-total and -gain trial performance, as well as between cannabis use problems and externalizing symptoms in predicting RSB. CONCLUSION: Current treatment and prevention approaches to reduce RSB among adolescents may benefit from incorporating techniques that improve decision-making skills.