Addictive behaviors最新文献

Objective: The current study was a systematic review and meta-analysis of cognitive behavioral treatment (CBT) for problem gambling and gambling disorder and whether it produced different outcomes than minimal or no treatment controls on three putative change mechanisms: 1) gambling cognitions, 2) coping, and 3) self-efficacy. Method: Studies were identified from five bibliographic databases (i.e., Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Embase, PsycINFO, and PubMed). Included studies were randomized controlled trials of CBT that included posttreatment data on putative mechanisms. Between-group Hedges’s g effect sizes were calculated to examine outcomes of CBT relative to minimal or no treatment control on gambling cognitions, coping, and self-efficacy at posttreatment. Risk of bias was determined using the Cochrane Risk of Bias tool. Results: Fifteen studies, representing 1,536 participants, were eligible for analysis. Participants in CBT had more favorable gambling cognitions (g = -0.41), coping behaviors (g = 0.27), and self-efficacy (g = 1.12) at posttreatment than minimal or no treatment control. Conclusions: Results of the current study provided preliminary support for the effectiveness of CBT on three putative mechanisms of change among individuals experiencing problem gambling and gambling disorder. Although the results were promising, there was significant heterogeneity in the magnitude of effect sizes for all three outcomes, and outcomes were not consistently assessed with psychometrically established assessment tools.

High-intensity drinking (HID; 10+ drinks/occasion) is associated with acute and long-term risks, including use of other substances. Earlier HID initiation is associated with high-risk alcohol use in young adulthood. Less is known about when HID initiation occurs relative to other substances and how it is associated with subsequent substance use. This study examined survey data from 468 respondents (35.5% female, 65.5% non-Hispanic white) who reported initiating HID by age 20. Weighted descriptive statistics of year of initiation for HID, marijuana, and nicotine were obtained. Weighted linear and logistic regressions examined associations between year and order of HID initiation and age 20 substance use (i.e., nicotine vaping, cigarette use, other tobacco use, marijuana use, marijuana vaping, simultaneous alcohol and marijuana use, and other illicit drug use) and alcohol use disorder (AUD) symptoms. Over half of participants initiated HID after marijuana (54.6%) and nicotine (54.4%). Later HID initiation was associated with fewer AUD symptoms and lower odds of all outcomes except marijuana and other illicit drug use. Initiating HID before marijuana was associated with lower odds of marijuana use outcomes and other illicit drug use at age 20. Initiating HID before nicotine was associated with lower odds of all substance use outcomes at age 20. Earlier HID initiation was associated with risk for subsequent substance use, but initiating HID earlier than other substances was not. Given its association with both alcohol-related outcomes and other substance use in young adulthood, earlier HID initiation is an important target for screening and intervention.

Introduction

Prospective associations of adolescent cannabis use with nicotine use persistence are not well characterized but are important for informing prevention and policy. This study examined the association of 4 types of cannabis product use with subsequent persistent nicotine product use among adolescents.

Methods

We used prospective data from an adolescent cohort (14–17 years) from Southern California surveyed at baseline and at approximately 6-month follow-up (2022–2023). We incorporated three mutually non-exclusive analytic samples comprised of individuals with baseline past 6-month use of: (1) any nicotine product (N=308 [mean[SD] age = 16.3[0.6] years]), (2) e-cigarettes (n = 276), and (3) any combustible tobacco product (n = 137). Baseline past 6-month cannabis smoking, vaping, edible use, cannabidiol [CBD] or hemp product use, and any cannabis product use (yes/no) were separately modeled as predictors of past 6-month persistent use of any nicotine products, e-cigarettes, and combustible tobacco at follow-up.

Results

Baseline use of any cannabis product was associated with increased odds of persistent use of e-cigarettes or any nicotine product (adjusted odds ratio[OR] range: 1.96–2.66). Cannabis smoking was positively associated with persistent any nicotine product use (adjusted OR=2.19, 95 % CI=1.20–4.02). Cannabis smoking, vaping, and edible use predicted persistent use of e-cigarettes (adjusted OR range: 2.22–2.79). Cannabis product use did not predict combustible tobacco use persistence. Associations of CBD/hemp product use with nicotine use persistence outcomes were all non-significant.

Conclusions

Adolescents who use cannabis may be at elevated risk for persistent nicotine use.

Objective

The aim of this study was to compare past 12-month use of cigarette smoking cessation aids (e.g., Food and Drug Administration (FDA)-approved cessation products or e-cigarettes for smoking cessation) among people with substance use problems (PWSUPs) who currently smoke to people without substance use problems (SUPs) who currently smoke cigarettes in a nationally representative US sample.

Methods

We used the Population Assessment of Tobacco and Health (PATH) Wave 6 Study [n = 30,516]. Our sample comprised adult (18+) established cigarette smokers (100+ lifetime-sticks with daily/non-daily use) [n = 5,895]. The independent variable was SUP status (no, moderate, and high). The dependent variables were past-year use of: nicotine replacement therapies (NRTs), cessation medications [i.e., varenicline or bupropion], or e-cigarettes [for cigarette cessation and reduction]. Weighted multivariable logistic regression models for each dependent variable examined the associations between SUP status and each cessation aid, adjusting for cigarette dependence, daily cigarette smoking, and demographic factors.

Results

Among people who smoke, a higher proportion of respondents with high SUP severity used NRTs, cessation medications, and e-cigarettes for cigarette cessation, respectively (12.3%, 8.4%, 15.7%), compared to those with no/low SUP severity (9.8%, 6.0%, 8.9%). In the multivariable models, respondents with high SUPs had 63% (95% CI:1.16–2.29) higher odds of using e-cigarettes for cessation than those without SUPs. No significant differences were seen between high (vs. no/low SUPs) in the past-year use of NRTs and cessation medications.

Conclusion

Our findings indicate that cigarette smokers with high SUPs had higher odds of using e-cigarettes for cessation and reduction compared to smokers without SUPs.

Introduction

The impact of alcohol consumption on health, particularly in low quantities, remains controversial. Our objective was to assess the association between alcohol volume and heavy episodic drinking (HED) with all-cause mortality, while minimizing many of the known methodological issues.

Methodology

This longitudinal study used data from the 2011–2012 National Health Survey and the 2014 European Health Survey in Spain. Data from 43,071 participants aged ≥ 15 years were linked to mortality records as of December 2021. Alcohol consumption categories were defined based on intake volume and frequency: never-drinkers, former drinkers, infrequent occasional drinkers (≤once/month), frequent occasional drinkers (<once/week to > once /month). Regular drinkers (≥once/week) were further classified by volume: >0–10 g/day, >10–20 g/day, >20–40 g/day, and > 40 g/day. Heavy Episodic Drinking (HED) was defined as ≥ 6 and ≥ 5 standard drinks (10 g) within 4–6 h for men and women, respectively. Hazard ratios (HR) were calculated using Cox regression, adjusting for sociodemographic variables, lifestyle factors, health status, and alcohol volume or HED.

Results

Compared to infrequent occasional drinkers, HRs for never-drinkers and former drinkers were 1.30 (95 %CI:1.14–1.47) and 1.32 (95 %CI:1.15–1.50), respectively. No differences in mortality risk were observed for intakes up to 20 g/day, but it increased for consumptions > 20–40 g/day and > 40 g/day (HR = 1.29; 95 %CI:1.05–1.58 and HR = 1.57; 95 %CI:1.14–2.17, respectively). The HR of weekly HED vs. never was 1.31 (95 %CI:0.98–1.75).

Conclusions

Compared to infrequent occasional drinking, consuming low amounts of alcohol had no impact on mortality risk. However, never-drinkers, former drinkers, individuals with regular consumption > 20 g/day, and those engaging in weekly HED, experienced higher mortality risk.

Background and objectives

Adolescent electronic cigarette (EC) use has reached epidemic rates and has been linked to numerous mental health and psychosocial stressors (PS). There is limited qualitative data on PS for adolescents with e-cigarette, or vaping, product-use associated lung injury (EVALI), a severe complication of EC use.

Methods

All patients hospitalized at Children’s Medical Center in Dallas, Texas from 2018 to 2022 and met CDC case definitions for EVALI were included in the analysis. PS were extracted from the electronic health record and analyzed for recurring themes using the HEADSS assessment as a framework. Results were summarized using descriptive statistics, and representative quotations were selected to highlight each theme.

Results

Forty-three adolescents (mean age 16.3 years; 62.8 % male; 39.5 % Non-Hispanic White, 60.5 % Hispanic) were included in the analysis, and 40 (93 %) reported PS. The most common themes were family (51 %; “restraining order issued against 28-year-old brother”), polysubstance use (77 %; “experimenting with…ecstasy, LSD, CCC, misusing Adderall”), and mental health (63 %; “has been suicidal since he was ‘a toddler’”). Less commonly, patients reported PS related to peers (28 %; “spending the entire day at the cemetery where his best friend was buried”), school (49 %; “attending his second alternative school”), and the legal system (19 %; “placed in juvenile detention, released, and will be on probation”).

Conclusions

Adolescents with EVALI had PS that were chronic, severe, and involving multiple domains. These findings emphasize the importance of psychosocial screening in adolescents and coordinating interdisciplinary care with mental health and social services.

Background

Co-use of tobacco and cannabis is common. However, few studies have examined the temporal sequencing through which individuals initiate co-use, and how these patterns vary across age. This study addresses this gap by examining the specific products and temporal sequencing through which adolescents, young adults, and adults initiate co-use of tobacco and cannabis. Among adolescents, young adults, and adults who co-used tobacco and cannabis in the past 30 days, we examined (a) whether tobacco or cannabis was used first in their lifetime and (b) which specific tobacco or cannabis product (e.g., nicotine e-cigarettes, cannabis edibles) was the first used.

Methods

Data were from a cross-sectional national survey (N = 6,131, 13–40 years old) in which participants reported ever use, past-30-day-use, and order of use for 17 different tobacco and cannabis products. Results were analyzed overall and by age group (13–20; 21–24; 25–40).

Results

38.4% of participants reported use of both tobacco and cannabis in the past 30 days. Among these participants, 70.9% used tobacco first in their lifetime (66.6% < 21; 71.7% 21–24; 76.6% > 24). Approximately 60% of participants who initiated co-use with tobacco reported nicotine e-cigarettes as their first tobacco product (63.3% < 21; 66.7% 21–24; 49.6% > 24).

Conclusions

The majority of participants who used both tobacco and cannabis used tobacco first in their lifetime, and nicotine e-cigarettes were the most common form of tobacco initiation, particularly among adolescents and young adults. Findings emphasize the need for co-use prevention programs to target common products of initiation.

Background

Gender-specific interventions are crucial in addressing substance use disorders —particularly cannabis use disorder — as they allow for tailored therapeutic approaches and increase the likelihood of successful outcomes. However, differences in therapeutic processes and outcomes between males and females are often not observed, making the prognosis and development of such interventions more difficult.

Objective

This study aimed to examine the moderating role of sex in the relationship between treatment admission profile characterized by indicators of cannabis use and sociodemographic sources of gender inequality (e.g., employment status) and adherence and outcome at discharge.

Method

A multicentric retrospective observational study was conducted with a sample of 3,814 outpatients diagnosed with cannabis use disorder. Electronic health records were used for data analysis.

Results

The interaction between sex and the number of children, as well as pre-treatment cannabis use, predicted lower treatment adherence, particularly among females. Additionally, the interaction between sex and the number of children predicted outcomes at discharge, with females showing a higher likelihood of dropout compared to males.

Discussion and conclusion

Enhanced comprehensive treatment with intensified contingency management programs should be prioritized for females (especially those with children) who have consumed cannabis in the month before treatment. Adopting a treatment policy framework incorporating sex/gender-sensitive therapist training and evaluative measures is essential for optimizing treatment outcomes for all patients.

Introduction

Smoking for weight control is a well-documented behavior. There is emerging evidence to suggest electronic cigarettes (e-cigarettes) may be used for similar motivations yet measure development for the use of e-cigarettes for weight control has received less attention. The objective of the current study was to adapt and explore the psychometric properties of The Smoking-Related Weight and Eating Episodes Test (SWEET) for e-cigarette users.

Methods

Young adult (N=1875) current cigarette, e-cigarette, and dual users completed the original SWEET (SWEET-C) and/or adapted SWEET for e-cigarette use (SWEET-EC) based on current tobacco product use. Demographics, associated e-cigarette characteristics, nicotine dependence, outcome expectancies, and eating disorder behaviors were also assessed. Participants were recruited online and measures were completed via self-report.

Results

Four exploratory factor analyses using principal components extraction and direct oblimin rotation methods were run to explore the SWEET-C and SWEET-EC. A one-factor solution explaining 66 % of the variance was retained for the SWEET-C, and a one-factor solution explaining 73 % of the variance was retained for the SWEET-EC. Both measures exhibited excellent internal consistency. Higher SWEET-EC scores were observed among dual users, and were associated with daily e-cigarette use, JUUL use, self-reported vaping for weight control, older age, higher body mass index, and problematic eating behaviors.

Conclusion

Our findings support the adaptation of the SWEET-EC to measure e-cigarette use for weight control. The SWEET-EC will help to better understand how individuals use e-cigarettes to curb eating behavior and for weight control.

Introduction

Little is known about the prevalence and predictors of adolescents’ intention to quit or reduce use of e-cigarettes and/or cannabis.

Methods

Frequencies of intention to change (quit, reduce) e-cigarettes and/or cannabis use were examined among 23,915 surveyed middle and high school students with sole and co-use. Predictors of intention to change were identified via LASSO/multilevel logistic regression.

Results

Among those with sole e-cigarette use (n = 543), 40.9 % intended to quit and 24.1 % intended to reduce; non-daily e-cigarette use predicted intention to quit and reduce e-cigarettes (p’s < 0.03). Among those with sole cannabis use (n = 546), 10.6 % intended to quit and 25.1 % intended to reduce; absence of cannabis cravings predicted intention to reduce cannabis use (p < 0.01). Among those with co-use (n = 816), 26.2 % intended to either quit or reduce (quit/reduce) both substances, 27.5 % intended to quit/reduce e-cigarettes only, and 6.9 % intended to quit/reduce cannabis only. No predictors emerged for intention to change e-cigarette use among those with co-use (p’s > 0.09), but younger age, lack of poly-tobacco use, and lack of cannabis craving predicted intention to quit/reduce cannabis use (p’s < 0.04).

Conclusions

More than half of adolescents with past-month e-cigarette use, regardless of concurrent cannabis use, expressed interest in changing their use. However, only heaviness of e-cigarette use emerged as a predictor of intention to change suggesting. While fewer students expressed interest in changing their cannabis use, cannabis cravings and poly-tobacco use predicted intent to change. Overall, findings emphasize the need to tailor interventions towards adolescents engaging in more problematic substance use patterns.