Pub Date : 2026-06-01Epub Date: 2026-02-12DOI: 10.1016/j.addbeh.2026.108639
Alicia M. Allen , Linnea B. Linde-Krieger , James Baurley , Jendar Deschenes , Stephanie Mallahan , Alma Anderson , Stacey Tecot , Lela Rankin
Evidence-based opioid use disorder (OUD) relapse prevention interventions designed to the unique needs of the postpartum period are lacking. We aimed to identify novel intervention targets using ecological momentary assessment (EMA) with Bayesian mixed-effects models to assess infant caregiving (e.g., skin-to-skin contact), relational factors (e.g., loneliness), and individual factors (e.g., pain): (1) by OUD status, and (2) in relation to craving and coping.
Participants with and without OUD (OUD+ and OUD−, respectively) were followed from late pregnancy to postpartum week 12 with daily EMA assessing infant caregiving, relational factors, individual factors, craving for non-therapeutic opioids (e.g., heroin), craving for therapeutic opioids (e.g., methadone), and coping with cravings.
Participants (n = 61) were 29.4 ± 5.1 years old. Compared to OUD− (n = 18), OUD+(n = 43) had greater infant-focused anxiety (β = 0.24, 95% CI: 0.002, 0.48) and well-being stress (β = 0.32; 95% CI: 0.02, 0.64). Coping with cravings declined over time (β = −0.38, 95% CI: −0.77, −0.01) whereas opioid cravings did not. Numerous associations were identified including, but not limited to, non-therapeutic craving with infant-focused anxiety (β = 1.95; 95% CI: 0.33, 3.55) and pain (β = 0.08; 95% CI: 0.03, 0.13), therapeutic craving with tangible support (β = 3.99; 95% CI: 0.56, 7.48) and work-related stress (β = 1.88; 95% CI: 0.63, 3.14), and coping with cravings with skin-to-skin contact (β = 0.07; 95% CI: 0.03, 0.11) and general well-being stress (β = −2.07; 95% CI: −4.12, −0.01).
Several modifiable risk factors had unique and meaningful associations with opioid cravings and coping with craving. Future research is needed to replicate these observations in diverse samples and examine the applicability to postpartum OUD recovery support.
{"title":"Infant caregiving, relational factors, mood, and pain in perinatal opioid use disorder: A prospective cohort with ecological momentary assessment","authors":"Alicia M. Allen , Linnea B. Linde-Krieger , James Baurley , Jendar Deschenes , Stephanie Mallahan , Alma Anderson , Stacey Tecot , Lela Rankin","doi":"10.1016/j.addbeh.2026.108639","DOIUrl":"10.1016/j.addbeh.2026.108639","url":null,"abstract":"<div><div>Evidence-based opioid use disorder (OUD) relapse prevention interventions designed to the unique needs of the postpartum period are lacking. We aimed to identify novel intervention targets using ecological momentary assessment (EMA) with Bayesian mixed-effects models to assess infant caregiving (e.g., skin-to-skin contact), relational factors (e.g., loneliness), and individual factors (e.g., pain): (1) by OUD status, and (2) in relation to craving and coping.</div><div>Participants with and without OUD (OUD+ and OUD−, respectively) were followed from late pregnancy to postpartum week 12 with daily EMA assessing infant caregiving, relational factors, individual factors, craving for non-therapeutic opioids (e.g., heroin), craving for therapeutic opioids (e.g., methadone), and coping with cravings.</div><div>Participants (n = 61) were 29.4 ± 5.1 years old. Compared to OUD− (n = 18), OUD+(n = 43) had greater infant-focused anxiety (β = 0.24, 95% CI: 0.002, 0.48) and well-being stress (β = 0.32; 95% CI: 0.02, 0.64). Coping with cravings declined over time (β = −0.38, 95% CI: −0.77, −0.01) whereas opioid cravings did not. Numerous associations were identified including, but not limited to, non-therapeutic craving with infant-focused anxiety (β = 1.95; 95% CI: 0.33, 3.55) and pain (β = 0.08; 95% CI: 0.03, 0.13), therapeutic craving with tangible support (β = 3.99; 95% CI: 0.56, 7.48) and work-related stress (β = 1.88; 95% CI: 0.63, 3.14), and coping with cravings with skin-to-skin contact (β = 0.07; 95% CI: 0.03, 0.11) and general well-being stress (β = −2.07; 95% CI: −4.12, −0.01).</div><div>Several modifiable risk factors had unique and meaningful associations with opioid cravings and coping with craving. Future research is needed to replicate these observations in diverse samples and examine the applicability to postpartum OUD recovery support.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"177 ","pages":"Article 108639"},"PeriodicalIF":3.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2026-02-12DOI: 10.1016/j.addbeh.2026.108641
Loren Kock , Jamie Brown , Vera Buss , Amanda Roberts , Lion Shahab
Gambling often co-occurs with tobacco smoking and alcohol use, which likely exacerbates the physical, psychological, and financial harm that each of them cause.
Using 2023 Gambling Survey for Great Britain (GSGB; n = 9742) data, we ran generalized linear models (adjusted for sex, age, income, housing tenure and ethnicity) to assess associations between i) risk or severity of gambling problems (Problem Gambling severity Index [PGSI], and reported overspend or ignoring spend limits), and ii) attempts to reduce gambling, with alcohol consumption (Alcohol Use Dependence Test for Consumption [AUDIT-C]) and current smoking. A multinomial model explored the association between the same gambling harm predictors and a composite measure of smoking and high-risk drinking.
Compared with non-gamblers, AUDIT-C was significantly (all p < 0.001) higher across all PGSI response categories in a dose dependent fashion (PGSI 0 β=0.30; PGSI 1–2 β=0.64; PGSI 3–7 β=0.75; PGSI ≥ 8 β=1.40). The odds of current smoking also increased with higher PGSI scores but was only statistically significant for PGSI scores ≥ 8 (ORadj = 2.81, 95%CI 1.85, 4.28). Similar associations were apparent for overspending or ignoring limits. Those who attempted to reduce or stop gambling in the past year were more likely to smoke. Disordered gamblers (PGSI ≥ 8) compared with those who do not gamble had greatly increased odds of both smoking and having an AUDIT-C ≥ 8 (high-risk drinking) vs. not smoking and having an AUDIT-C score < 8 (ORadj = 9.37; 95%CI = 4.15–21.14; p < 0.001).
Increased risk or severity of gambling problems is associated with risky drinking and odds of smoking in a dose dependent fashion. These findings underscore the need for integrated policy and intervention approaches to address gambling-related and substance-related harms together.
{"title":"Gambling, smoking and alcohol use in Great Britain: insights from the 2023 Gambling Survey of Great Britain","authors":"Loren Kock , Jamie Brown , Vera Buss , Amanda Roberts , Lion Shahab","doi":"10.1016/j.addbeh.2026.108641","DOIUrl":"10.1016/j.addbeh.2026.108641","url":null,"abstract":"<div><div>Gambling often co-occurs with tobacco smoking and alcohol use, which likely exacerbates the physical, psychological, and financial harm that each of them cause.</div><div>Using 2023 Gambling Survey for Great Britain (GSGB; n = 9742) data, we ran generalized linear models (adjusted for sex, age, income, housing tenure and ethnicity) to assess associations between i) risk or severity of gambling problems (Problem Gambling severity Index [PGSI], and reported overspend or ignoring spend limits), and ii) attempts to reduce gambling, with alcohol consumption (Alcohol Use Dependence Test for Consumption [AUDIT-C]) and current smoking. A multinomial model explored the association between the same gambling harm predictors and a composite measure of smoking and high-risk drinking.</div><div>Compared with non-gamblers, AUDIT-C was significantly (all p < 0.001) higher across all PGSI response categories in a dose dependent fashion (PGSI 0 β=0.30; PGSI 1–2 β=0.64; PGSI 3–7 β=0.75; PGSI ≥ 8 β=1.40). The odds of current smoking also increased with higher PGSI scores but was only statistically significant for PGSI scores ≥ 8 (OR<sub>adj</sub> = 2.81, 95%CI 1.85, 4.28). Similar associations were apparent for overspending or ignoring limits. Those who attempted to reduce or stop gambling in the past year were more likely to smoke. Disordered gamblers (PGSI ≥ 8) compared with those who do not gamble had greatly increased odds of both smoking and having an AUDIT-C ≥ 8 (high-risk drinking) vs. not smoking and having an AUDIT-C score < 8 (OR<sub>adj</sub> = 9.37; 95%CI = 4.15–21.14; p < 0.001).</div><div>Increased risk or severity of gambling problems is associated with risky drinking and odds of smoking in a dose dependent fashion. These findings underscore the need for integrated policy and intervention approaches to address gambling-related and substance-related harms together.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"177 ","pages":"Article 108641"},"PeriodicalIF":3.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-05-01Epub Date: 2026-02-03DOI: 10.1016/j.addbeh.2026.108632
Jennifer M. Betts , Elias M. Klemperer , Timothy B. Baker , Wei-Yin Loh , Sulamunn R.M. Coleman , Jessica W. Cook
Introduction: Motivation-phase smoking treatment can increase treatment reach and abstinence in persons unmotivated to quit smoking. However, Motivation-phase treatment is modestly and inconsistently effective. This research aims to identify factors that may influence the effectiveness of the two intervention components most commonly used in Motivation-phase treatment: nicotine replacement therapy (NRT) and reduction counseling.
Methods: An exploratory, secondary analysis of a 4-factor, randomized trial enrolled 577 primary care patients who were willing to reduce, but not quit, smoking. Participants were randomized to the following interventions: smoking reduction counseling, nicotine mini-lozenge, behavioral activation counseling, and 5Rs-motivational counseling. Using a precision medicine approach, machine learning analyses determined whether demographic and smoking variables identified persons more likely to benefit from the interventions with regard to 24-hour quit attempts, entry into cessation treatment, and self-reported 7-day point prevalence abstinence at 1 year.
Results: Quitting self-efficacy predicted the likelihood of making a quit attempt and entering cessation treatment. At high levels of self-efficacy (>3.5 out of 5), there were no significant effects of interventions. At low levels of self-efficacy (≤3.5 out of 5), receiving reduction counseling reduced the odds of making a quit attempt (OR = 0.51, p = 0.002), and receiving mini-lozenge reduced the odds of entering cessation treatment (OR = 0.55, p = 0.02). No significant effects were found for smoking abstinence.
Conclusions: Baseline quitting self-efficacy may identify persons who will not be aided by standard Motivation-phase treatment and thus require a different therapeutic approach. These results raise questions about whom to treat, and how to treat, individuals who decline cessation treatment.
引言:动机阶段的吸烟治疗可以增加治疗的覆盖面和戒烟的人没有动机戒烟。然而,动机阶段的治疗是适度和不一致的有效。本研究旨在确定可能影响动机阶段治疗中最常用的两种干预成分的有效性的因素:尼古丁替代疗法(NRT)和减少咨询。方法:对一项4因素随机试验进行探索性、二次分析,纳入577名愿意减少吸烟但不戒烟的初级保健患者。参与者被随机分配到以下干预措施:减少吸烟咨询、尼古丁迷你含片、行为激活咨询和5rs动机咨询。使用精准医学方法,机器学习分析确定了人口统计学和吸烟变量是否确定了更有可能从24小时戒烟尝试、进入戒烟治疗和1年后自我报告的7天点流行戒烟方面的干预措施中受益的人。结果:戒烟自我效能感预测了戒烟尝试和进入戒烟治疗的可能性。在高水平的自我效能(bb0 - 3.5 / 5)中,干预没有显著影响。在自我效能水平较低的情况下(≤3.5 / 5),接受减量咨询降低了尝试戒烟的几率(OR = 0.51, p = 0.002),接受迷你含片降低了进入戒烟治疗的几率(OR = 0.55, p = 0.02)。戒烟没有发现明显的效果。结论:基线戒烟自我效能可以识别那些不需要标准动机阶段治疗的人,因此需要不同的治疗方法。这些结果提出了对谁进行治疗以及如何治疗拒绝戒烟治疗的个体的问题。
{"title":"Treating those not ready to quit smoking: Doing harm while trying to help?","authors":"Jennifer M. Betts , Elias M. Klemperer , Timothy B. Baker , Wei-Yin Loh , Sulamunn R.M. Coleman , Jessica W. Cook","doi":"10.1016/j.addbeh.2026.108632","DOIUrl":"10.1016/j.addbeh.2026.108632","url":null,"abstract":"<div><div><strong>Introduction</strong>: Motivation-phase smoking treatment can increase treatment reach and abstinence in persons unmotivated to quit smoking. However, Motivation-phase treatment is modestly and inconsistently effective. This research aims to identify factors that may influence the effectiveness of the two intervention components most commonly used in Motivation-phase treatment: nicotine replacement therapy (NRT) and reduction counseling.</div><div><strong>Methods</strong>: An exploratory, secondary analysis of a 4-factor, randomized trial enrolled 577 primary care patients who were willing to reduce, but not quit, smoking. Participants were randomized to the following interventions: smoking reduction counseling, nicotine mini-lozenge, behavioral activation counseling, and 5Rs-motivational counseling. Using a precision medicine approach, machine learning analyses determined whether demographic and smoking variables identified persons more likely to benefit from the interventions with regard to 24-hour quit attempts, entry into cessation treatment, and self-reported 7-day point prevalence abstinence at 1 year.</div><div><strong>Results</strong>: Quitting self-efficacy predicted the likelihood of making a quit attempt and entering cessation treatment. At high levels of self-efficacy (>3.5 out of 5), there were no significant effects of interventions. At low levels of self-efficacy (≤3.5 out of 5), receiving reduction counseling <em>reduced</em> the odds of making a quit attempt (<em>OR</em> = 0.51, <em>p</em> = 0.002), and receiving mini-lozenge <em>reduced</em> the odds of entering cessation treatment (<em>OR</em> = 0.55, <em>p</em> = 0.02). No significant effects were found for smoking abstinence.</div><div><strong>Conclusions</strong>: Baseline quitting self-efficacy may identify persons who will not be aided by standard Motivation-phase treatment and thus require a different therapeutic approach. These results raise questions about whom to treat, and how to treat, individuals who decline cessation treatment.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"176 ","pages":"Article 108632"},"PeriodicalIF":3.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146133710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-05-01Epub Date: 2026-02-07DOI: 10.1016/j.addbeh.2026.108636
Devin M. McCauley , Michael Baiocchi , Lauren K Lempert , Bonnie Halpern-Felsher
Background
In 2021, the U.S. Food and Drug Administration (FDA) authorized marketing of the first e-cigarette, Vuse Solo; subsequently, other e-cigarettes and related products were authorized or denied marketing. We examined how FDA authorization affects perceptions of and intentions to use e-cigarettes.
Methods
Cross-sectional survey of N = 6,098 participants 13–40 years old; embedded experiments: (1) Randomized to a statement indicating FDA authorized marketing of Vuse Solo (Treatment) or no statement (Control). Participants reported perceptions of Vuse Solo health harms, benefits, and intentions to use. (2) Viewed a fictional e-cigarette (“NovaStik”) with a brief description, including a randomized statement: NovaStik was “FDA authorized” (Condition 1), “Not FDA authorized” (Condition 2), or “FDA denied” (Condition 3). Participants reported perceptions of NovaStik and intentions to use. T-tests and ANOVAs evaluated differences in responses by condition; multi-variate regression examined differences in treatment effects by sex, age group, and past 30-day tobacco use.
Results
Experiment 1: treatment participants perceived Vuse Solo as less harmful than control participants (p’s < 0.01); there were no differences in perceptions of addictiveness or intentions to use Vuse Solo by condition. Experiment 2: there were statistically significant differences in all NovaStik perceptions and intentions items (p’s < 0.001). Participants in the FDA-authorized condition reported more positive perceptions and intentions compared to those in the “Not Authorized” or “Denied” conditions.
Discussion
Viewing information that e-cigarettes were FDA-authorized was associated with lower perceptions of health harms and higher intentions to use. Findings suggest that stated FDA authorization can have unintended effects on e-cigarette perceptions and intentions.
{"title":"Adolescents’ and adults’ perceptions and intentions to use e-cigarettes following FDA authorization: insights from two survey experiments","authors":"Devin M. McCauley , Michael Baiocchi , Lauren K Lempert , Bonnie Halpern-Felsher","doi":"10.1016/j.addbeh.2026.108636","DOIUrl":"10.1016/j.addbeh.2026.108636","url":null,"abstract":"<div><h3>Background</h3><div>In 2021, the U.S. Food and Drug Administration (FDA) authorized marketing of the first e-cigarette, Vuse Solo; subsequently, other e-cigarettes and related products were authorized or denied marketing. We examined how FDA authorization affects perceptions of and intentions to use e-cigarettes.</div></div><div><h3>Methods</h3><div>Cross-sectional survey of N = 6,098 participants 13–40 years old; embedded experiments: (1) Randomized to a statement indicating FDA authorized marketing of Vuse Solo (Treatment) or no statement (Control). Participants reported perceptions of Vuse Solo health harms, benefits, and intentions to use. (2) Viewed a fictional e-cigarette (“NovaStik”) with a brief description, including a randomized statement: NovaStik was “FDA authorized” (Condition 1), “Not FDA authorized” (Condition 2), or “FDA denied” (Condition 3). Participants reported perceptions of NovaStik and intentions to use. T-tests and ANOVAs evaluated differences in responses by condition; multi-variate regression examined differences in treatment effects by sex, age group, and past 30-day tobacco use.</div></div><div><h3>Results</h3><div>Experiment 1: treatment participants perceived Vuse Solo as less harmful than control participants (<em>p’s</em> < 0.01); there were no differences in perceptions of addictiveness or intentions to use Vuse Solo by condition. Experiment 2: there were statistically significant differences in all NovaStik perceptions and intentions items (p’s < 0.001). Participants in the FDA-authorized condition reported more positive perceptions and intentions compared to those in the “Not Authorized” or “Denied” conditions.</div></div><div><h3>Discussion</h3><div>Viewing information that e-cigarettes were FDA-authorized was associated with lower perceptions of health harms and higher intentions to use. Findings suggest that stated FDA authorization can have unintended effects on e-cigarette perceptions and intentions.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"176 ","pages":"Article 108636"},"PeriodicalIF":3.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146168488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-05-01Epub Date: 2026-01-19DOI: 10.1016/j.addbeh.2026.108619
Seong-Uk Baek , Jin-Ha Yoon
Background
Intimate partner violence (IPV) is a global public health concern. Although some studies have identified cross-sectional associations between IPV victimization and smoking, longitudinal research remains limited. This study investigated the association between IPV victimization and smoking initiation and cessation among Korean adults.
Methods
This study included adult participants from the Korean Welfare Panel Study 2009–2023 (n = 13,450; observations = 108,932). Experiences of non-physical and overt physical IPV within the past year were assessed. The outcome measure was the incidence of smoking initiation and cessation in the following year. Generalized estimating equations were used to account for repeated measures. Odds ratios and 95% confidence intervals (CIs) were calculated to represent the associations.
Results
Among the overall sample, individuals exposed to non-physical or physical IPV had 1.36-fold (95% CI: 1.18–1.56) and 2.69-fold (95% CI: 1.77–4.08) higher odds of smoking initiation, respectively, compared to those not exposed to IPV. Furthermore, verbal IPV, threats of physical IPV, and physical IPV were associated with 1.43-fold (95% CI: 1.24–1.63), 1.74-fold (95% CI: 1.26–2.39), and 2.44-fold (95% CI: 1.60–3.72) increased odds of smoking initiation, respectively. These associations were observed in both men and women. However, no clear association was found between IPV and smoking cessation in the subsequent years.
Conclusion
This study demonstrates that individuals who experienced IPV had an increased likelihood of smoking initiation one year after exposure. Consequently, policy interventions aimed at preventing IPV are warranted.
{"title":"Association between intimate partner violence victimization and smoking initiation and cessation among married adults in Korea","authors":"Seong-Uk Baek , Jin-Ha Yoon","doi":"10.1016/j.addbeh.2026.108619","DOIUrl":"10.1016/j.addbeh.2026.108619","url":null,"abstract":"<div><h3>Background</h3><div>Intimate partner violence (IPV) is a global public health concern. Although some studies have identified cross-sectional associations between IPV victimization and smoking, longitudinal research remains limited. This study investigated the association between IPV victimization and smoking initiation and cessation among Korean adults.</div></div><div><h3>Methods</h3><div>This study included adult participants from the Korean Welfare Panel Study 2009–2023 (n = 13,450; observations = 108,932). Experiences of non-physical and overt physical IPV within the past year were assessed. The outcome measure was the incidence of smoking initiation and cessation in the following year. Generalized estimating equations were used to account for repeated measures. Odds ratios and 95% confidence intervals (CIs) were calculated to represent the associations.</div></div><div><h3>Results</h3><div>Among the overall sample, individuals exposed to non-physical or physical IPV had 1.36-fold (95% CI: 1.18–1.56) and 2.69-fold (95% CI: 1.77–4.08) higher odds of smoking initiation, respectively, compared to those not exposed to IPV. Furthermore, verbal IPV, threats of physical IPV, and physical IPV were associated with 1.43-fold (95% CI: 1.24–1.63), 1.74-fold (95% CI: 1.26–2.39), and 2.44-fold (95% CI: 1.60–3.72) increased odds of smoking initiation, respectively. These associations were observed in both men and women. However, no clear association was found between IPV and smoking cessation in the subsequent years.</div></div><div><h3>Conclusion</h3><div>This study demonstrates that individuals who experienced IPV had an increased likelihood of smoking initiation one year after exposure. Consequently, policy interventions aimed at preventing IPV are warranted.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"176 ","pages":"Article 108619"},"PeriodicalIF":3.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146168539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The social environment is an important predictor of smoking behavior. However, it remains unknown if social factors shape beliefs about whether certain cues trigger their urge to smoke, known as cue-induced smoking craving. Across two studies (total N = 300), we investigated whether group opinions influence cue-induced smoking craving in current- and past-smokers. Individuals rated their level of craving for each presented image, followed by exposure to group opinions. In Study 1, we found that individuals’ smoking craving shifted in response to group opinions, with stronger conformity to lower group opinions compared with equal or higher group opinions. Study 2, a pre-registered follow-up study, replicated these findings and further demonstrated that biased social norms modulate the degree of social influence on smoking craving. Specifically, individuals conformed more to low group opinions when biased social norms favored low ratings, and to high group opinions when norms favored high ratings. Our data demonstrate that group opinions can influence cue-induced smoking craving, highlighting the pivotal role of the social environment in shaping smoking-related beliefs and, consequently, smoking behavior.
{"title":"Social norms modulate asymmetric effects of group opinions on cue-induced smoking craving","authors":"Woojin Jung , HeeYoung Seon , Sunhae Sul , Dongil Chung","doi":"10.1016/j.addbeh.2026.108623","DOIUrl":"10.1016/j.addbeh.2026.108623","url":null,"abstract":"<div><div>The social environment is an important predictor of smoking behavior. However, it remains unknown if social factors shape beliefs about whether certain cues trigger their urge to smoke, known as cue-induced smoking craving. Across two studies (total N = 300), we investigated whether group opinions influence cue-induced smoking craving in current- and past-smokers. Individuals rated their level of craving for each presented image, followed by exposure to group opinions. In Study 1, we found that individuals’ smoking craving shifted in response to group opinions, with stronger conformity to lower group opinions compared with equal or higher group opinions. Study 2, a pre-registered follow-up study, replicated these findings and further demonstrated that biased social norms modulate the degree of social influence on smoking craving. Specifically, individuals conformed more to low group opinions when biased social norms favored low ratings, and to high group opinions when norms favored high ratings. Our data demonstrate that group opinions can influence cue-induced smoking craving, highlighting the pivotal role of the social environment in shaping smoking-related beliefs and, consequently, smoking behavior.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"176 ","pages":"Article 108623"},"PeriodicalIF":3.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146071020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-05-01Epub Date: 2026-02-08DOI: 10.1016/j.addbeh.2026.108634
Stephen M. Amrock , Agata J. Sajkiewicz
Background and objectives
Cannabis use remains a major concern for adolescent health. Monitoring adolescent cannabis use trends and whether demographic subgroups might be differentially impacted remains important for public health planning.
Methods
Data from the 1991–2023 Youth Risk Behavior Survey (YRBS), a biennial school-based survey representative of US high school students, were analyzed. Cross-tabulations and logistic regression models were calculated to examine lifetime, recent, and early-age cannabis use. Trends in cannabis use were examined by sex and race/ethnicity.
Results
Across different demographic groups, adolescent cannabis use rates have largely followed a similar inverted-U pattern, with rates peaking in 1999 and subsequently declining. Lifetime cannabis use decreased from 47.3% (95% CI: 44.5–50.2%) in 1999 to 30.1% (95% CI: 27.8–32.3%) in 2023. Recent use declined from 27.1% (95% CI: 24.6–29.6%) to 17.8% (95% CI: 16.2–19.4%). Early-age initiation declined from 11.5% (95% CI: 9.7–13.3%) to 6.5% (95% CI: 4.7–8.4%). A significant gender shift occurred: while males historically reported higher rates, in 2023, females demonstrated higher prevalence of both lifetime (33.4% vs. 27.0%) and recent use (19.4% vs. 16.4%). Consistent racial/ethnic differences persisted, with Asian adolescents reporting consistently lower prevalence and non-Hispanic Black and Hispanic adolescents reporting higher rates across most metrics.
Conclusion
Rates of lifetime, recent, and early-age cannabis rose through the 1990s, peaked around 1999, and have since declined. Where males formerly reported higher cannabis use rates, females now report higher rates of lifetime and recent cannabis use. Such convergence, noted to be robust across racial/ethnic groups, merits further study.
{"title":"Trends in US adolescent cannabis use, 1991–2023","authors":"Stephen M. Amrock , Agata J. Sajkiewicz","doi":"10.1016/j.addbeh.2026.108634","DOIUrl":"10.1016/j.addbeh.2026.108634","url":null,"abstract":"<div><h3>Background and objectives</h3><div>Cannabis use remains a major concern for adolescent health. Monitoring adolescent cannabis use trends and whether demographic subgroups might be differentially impacted remains important for public health planning.</div></div><div><h3>Methods</h3><div>Data from the 1991–2023 Youth Risk Behavior Survey (YRBS), a biennial school-based survey representative of US high school students, were analyzed. Cross-tabulations and logistic regression models were calculated to examine lifetime, recent, and early-age cannabis use. Trends in cannabis use were examined by sex and race/ethnicity.</div></div><div><h3>Results</h3><div>Across different demographic groups, adolescent cannabis use rates have largely followed a similar inverted-U pattern, with rates peaking in 1999 and subsequently declining. Lifetime cannabis use decreased from 47.3% (95% CI: 44.5–50.2%) in 1999 to 30.1% (95% CI: 27.8–32.3%) in 2023. Recent use declined from 27.1% (95% CI: 24.6–29.6%) to 17.8% (95% CI: 16.2–19.4%). Early-age initiation declined from 11.5% (95% CI: 9.7–13.3%) to 6.5% (95% CI: 4.7–8.4%). A significant gender shift occurred: while males historically reported higher rates, in 2023, females demonstrated higher prevalence of both lifetime (33.4% vs. 27.0%) and recent use (19.4% vs. 16.4%). Consistent racial/ethnic differences persisted, with Asian adolescents reporting consistently lower prevalence and non-Hispanic Black and Hispanic adolescents reporting higher rates across most metrics.</div></div><div><h3>Conclusion</h3><div>Rates of lifetime, recent, and early-age cannabis rose through the 1990s, peaked around 1999, and have since declined. Where males formerly reported higher cannabis use rates, females now report higher rates of lifetime and recent cannabis use. Such convergence, noted to be robust across racial/ethnic groups, merits further study.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"176 ","pages":"Article 108634"},"PeriodicalIF":3.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146159599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-05-01Epub Date: 2026-02-07DOI: 10.1016/j.addbeh.2026.108635
Katelyn F. Romm , Morgan Speer , Darcey M. McCready , Shriya Thakkar , Rishika Chakraborty , Patricia A. Cavazos-Rehg , Carla J. Berg
Introduction
Although past-month cannabis use has increased among US parents, little work has identified factors associated with parental use.
Methods
We analyzed 2023 survey data from 1,247 US young adult parents. Latent class analysis (LCA) identified sociodemographic profiles of age, number of children, education, marital status, employment, and sex. Multivariable regressions examined associations between class, depressive/anxiety symptoms, and past-month cannabis use among all participants; and class, depressive/anxiety symptoms, cannabis use motives, use frequency, consequences, and driving under the influence (DUI) of cannabis among those reporting past-month use.
Results
LCA identified 4 classes: Class 1 (‘older married males with ≥ Bachelor’s degree, full-time employment, 1–2 children’, 18.4%); Class 2 (‘younger single/cohabitating females with < Bachelor’s degree, 1–2 children’, 37.9%); Class 3 (‘older married females with 1–3+ children’, 30.3%); and Class 4 (‘older single/cohabitating females with < Bachelor’s degree, 3+ children’ 13.3%). Among all parents, Class 2 and 4 (vs. 1) displayed higher odds of cannabis use; Class 2 displayed higher odds of depressive/anxiety symptoms, which were associated with past-month use. Among those reporting past-month use; Class 2 and 3 (vs. 1) displayed more frequent use and greater coping motives; coping motives were associated with more frequent use. Class 1 displayed greatest risk of use consequences and DUI of cannabis.
Conclusions
Findings provide preliminary insights into parents most likely to use cannabis and experience consequences, highlighting the need for public health prevention/interventions that provide these parents with alternative coping resources.
{"title":"Parental sociodemographic profiles in relation to mental health, cannabis use motives, and cannabis use behaviors among a sample of US young adult parents","authors":"Katelyn F. Romm , Morgan Speer , Darcey M. McCready , Shriya Thakkar , Rishika Chakraborty , Patricia A. Cavazos-Rehg , Carla J. Berg","doi":"10.1016/j.addbeh.2026.108635","DOIUrl":"10.1016/j.addbeh.2026.108635","url":null,"abstract":"<div><h3>Introduction</h3><div>Although past-month cannabis use has increased among US parents, little work has identified factors associated with parental use.</div></div><div><h3>Methods</h3><div>We analyzed 2023 survey data from 1,247 US young adult parents. Latent class analysis (LCA) identified sociodemographic profiles of age, number of children, education, marital status, employment, and sex. Multivariable regressions examined associations between class, depressive/anxiety symptoms, and past-month cannabis use among all participants; and class, depressive/anxiety symptoms, cannabis use motives, use frequency, consequences, and driving under the influence (DUI) of cannabis among those reporting past-month use.</div></div><div><h3>Results</h3><div>LCA identified 4 classes: Class 1 (‘older married males with ≥ Bachelor’s degree, full-time employment, 1–2 children’, 18.4%); Class 2 (‘younger single/cohabitating females with < Bachelor’s degree, 1–2 children’, 37.9%); Class 3 (‘older married females with 1–3+ children’, 30.3%); and Class 4 (‘older single/cohabitating females with < Bachelor’s degree, 3+ children’ 13.3%). Among all parents, Class 2 and 4 (vs. 1) displayed higher odds of cannabis use; Class 2 displayed higher odds of depressive/anxiety symptoms, which were associated with past-month use. Among those reporting past-month use; Class 2 and 3 (vs. 1) displayed more frequent use and greater coping motives; coping motives were associated with more frequent use. Class 1 displayed greatest risk of use consequences and DUI of cannabis.</div></div><div><h3>Conclusions</h3><div>Findings provide preliminary insights into parents most likely to use cannabis and experience consequences, highlighting the need for public health prevention/interventions that provide these parents with alternative coping resources.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"176 ","pages":"Article 108635"},"PeriodicalIF":3.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146183765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-05-01Epub Date: 2026-01-27DOI: 10.1016/j.addbeh.2026.108618
Miranda R. Chilver , Peter Butterworth , Aino Suomi
There is limited longitudinal data examining national gambling trends in Australia. This study examines longitudinal trends in gambling participation and higher-risk gambling in Australia from 2015 to 2022 using data from the nationally representative Household Income and Labour Dynamics in Australia (HILDA) panel study. Study participants were HILDA respondents aged 15 and older in 2015, 2018, or 2022 who completed the Problem Gambling Severity Index (PGSI; N = 44,836 observations). Gambling participation was based on self-reported typical monthly expenditure on 10 gambling activities. Gambling risk was assessed using the 9-item PGSI and categorised as low-risk (0–2) or higher-risk (3+) gambling. Age and sex were included as socio-demographic variables. The results indicated that monthly gambling participation declined from 37.1% in 2015 to 32.9% in 2022 but levels of higher-risk gambling did not reduce at the same rate. Higher-risk gambling was independently associated with participation in electronic gaming machines (EGMs; OR = 8.0, p < 0.001), race betting (OR = 2.3, p < 0.001) and sports betting (OR = 1.5, p = 0.01). These were the most popular forms of gambling among those aged under 25. Although overall gambling participation in Australia has declined to 2022, this did not result in a reduction to higher-risk gambling. Young adults were the least likely to gamble, but show disproportionate participation in EGMs, race, and sports betting, and an increasing rate of higher-risk gambling.
有有限的纵向数据检查全国赌博趋势在澳大利亚。本研究使用来自澳大利亚全国代表性家庭收入和劳动力动态(HILDA)小组研究的数据,研究了2015年至2022年澳大利亚赌博参与和高风险赌博的纵向趋势。研究参与者是2015年、2018年或2022年15岁及以上的HILDA受访者,他们完成了问题赌博严重程度指数(PGSI; N = 44,836个观察值)。参与赌博的情况是基于自我报告的10项赌博活动的典型每月支出。赌博风险使用9项PGSI进行评估,并分为低风险(0-2)或高风险(3+)赌博。年龄和性别被纳入社会人口变量。结果表明,每月的赌博参与率从2015年的37.1%下降到2022年的32.9%,但高风险赌博的水平并没有以同样的速度下降。高风险赌博与参与电子游戏机独立相关(egm; OR = 8.0, p
{"title":"Gambling participation and risk over time associated with type of gambling activity: Trends in Australian general population 2015–2022","authors":"Miranda R. Chilver , Peter Butterworth , Aino Suomi","doi":"10.1016/j.addbeh.2026.108618","DOIUrl":"10.1016/j.addbeh.2026.108618","url":null,"abstract":"<div><div>There is limited longitudinal data examining national gambling trends in Australia. This study examines longitudinal trends in gambling participation and higher-risk gambling in Australia from 2015 to 2022 using data from the nationally representative Household Income and Labour Dynamics in Australia (HILDA) panel study. Study participants were HILDA respondents aged 15 and older in 2015, 2018, or 2022 who completed the Problem Gambling Severity Index (PGSI; N = 44,836 observations). Gambling participation was based on self-reported typical monthly expenditure on 10 gambling activities. Gambling risk was assessed using the 9-item PGSI and categorised as low-risk (0–2) or higher-risk (3+) gambling. Age and sex were included as socio-demographic variables. The results indicated that monthly gambling participation declined from 37.1% in 2015 to 32.9% in 2022 but levels of higher-risk gambling did not reduce at the same rate. Higher-risk gambling was independently associated with participation in electronic gaming machines (EGMs; OR = 8.0, <em>p</em> < 0.001), race betting (OR = 2.3, <em>p</em> < 0.001) and sports betting (OR = 1.5, <em>p</em> = 0.01). These were the most popular forms of gambling among those aged under 25. Although overall gambling participation in Australia has declined to 2022, this did not result in a reduction to higher-risk gambling. Young adults were the least likely to gamble, but show disproportionate participation in EGMs, race, and sports betting, and an increasing rate of higher-risk gambling.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"176 ","pages":"Article 108618"},"PeriodicalIF":3.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146101128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-05-01Epub Date: 2026-01-22DOI: 10.1016/j.addbeh.2026.108622
Hongying Daisy Dai , Troy B. Puga
Background
Cannabis and cannabidiol (CBD) use have grown recently among U.S. adults, yet little is known about their exclusive or combined use at the population level. This study sought to assess the prevalence and contributing factors of distinct use patterns.
Methods
Data from the 2023 National Survey of Drug Use and Health study were analyzed for adolescents (12–17,n = 11,572) and adults (18+,n = 45,133). Past-month cannabis and CBD use over the past 30 days, including patterns (non-use, exclusive, and dual-use), were reported and associated factors were examined by multinomial regressions.
Results
In 2023, 15.4% and 9.8% of participants reported past-month cannabis and CBD use, respectively; while 8.9, 3.4%, and 6.4% reported exclusive cannabis use, exclusive CBD use, and dual-use, respectively. Cannabis and CBD use were most common among individuals aged 18–34, while dual use was highest in 18–25-year-olds (10.8%). Exclusive cannabis use peaked in 26–34-year-olds (14.8%), and exclusive CBD use was most prevalent in adults 65+ (5.0%). Youth females (vs. males) and those living above the poverty line (vs. in poverty) were more likely to report exclusive CBD use. Adolescents with fair or poor health (vs. excellent/good) were more likely to report exclusive cannabis (AOR = 3.2,p < 0.001), exclusive CBD (AOR = 3.0,p = 0.002), and dual-use (AOR = 3.0, p < 0.001). Based on adolescent regression results, state medical cannabis legalization was associated with higher exclusive cannabis use(AOR = 1.8,p = 0.01). Based on adult regression results, state medical cannabis legalization was associated with higher exclusive cannabis use (AOR = 1.5, p < 0.001) and dual-use (AOR = 1.5, p < 0.001).
Conclusions
Cannabis and CBD use exhibited distinct usage patterns. As cannabis legalization policies continue to evolve, public health professionals should focus on tailored interventions to mitigate potential side effects associated with complex cannabis use.
{"title":"CBD, cannabis, or both? Examining use patterns and associated factors among U.S. youth and adults","authors":"Hongying Daisy Dai , Troy B. Puga","doi":"10.1016/j.addbeh.2026.108622","DOIUrl":"10.1016/j.addbeh.2026.108622","url":null,"abstract":"<div><h3>Background</h3><div>Cannabis and cannabidiol (CBD) use have grown recently among U.S. adults, yet little is known about their exclusive or combined use at the population level. This study sought to assess the prevalence and contributing factors of distinct use patterns.</div></div><div><h3>Methods</h3><div>Data from the 2023 National Survey of Drug Use and Health study were analyzed for adolescents (12–17,n = 11,572) and adults (18+,n = 45,133). Past-month cannabis and CBD use over the past 30 days, including patterns (non-use, exclusive, and dual-use), were reported and associated factors were examined by multinomial regressions.</div></div><div><h3>Results</h3><div>In 2023, 15.4% and 9.8% of participants reported past-month cannabis and CBD use, respectively; while 8.9, 3.4%, and 6.4% reported exclusive cannabis use, exclusive CBD use, and dual-use, respectively. Cannabis and CBD use were most common among individuals aged 18–34, while dual use was highest in 18–25-year-olds (10.8%). Exclusive cannabis use peaked in 26–34-year-olds (14.8%), and exclusive CBD use was most prevalent in adults 65+ (5.0%). Youth females (vs. males) and those living above the poverty line (vs. in poverty) were more likely to report exclusive CBD use. Adolescents with fair or poor health (vs. excellent/good) were more likely to report exclusive cannabis (AOR = 3.2,p < 0.001), exclusive CBD (AOR = 3.0,p = 0.002), and dual-use (AOR = 3.0, p < 0.001). Based on adolescent regression results, state medical cannabis legalization was associated with higher exclusive cannabis use(AOR = 1.8,p = 0.01). Based on adult regression results, state medical cannabis legalization was associated with higher exclusive cannabis use (AOR = 1.5, p < 0.001) and dual-use (AOR = 1.5, p < 0.001).</div></div><div><h3>Conclusions</h3><div>Cannabis and CBD use exhibited distinct usage patterns. As cannabis legalization policies continue to evolve, public health professionals should focus on tailored interventions to mitigate potential side effects associated with complex cannabis use.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"176 ","pages":"Article 108622"},"PeriodicalIF":3.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146127560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}