Addictive Behaviors Reports最新文献

{"title":"Internet-based versus synchronous cognitive behavioral therapy for gambling disorder: Study protocol for a non-inferiority randomized controlled trial","authors":"Anna Westh Stenbro ,&nbsp;Thomas Marcussen ,&nbsp;David C. Hodgins ,&nbsp;Thomas Tandrup Lamm ,&nbsp;Lisbeth Frostholm","doi":"10.1016/j.abrep.2025.100642","DOIUrl":"10.1016/j.abrep.2025.100642","url":null,"abstract":"<div><h3>Background</h3><div>Despite the availability of effective treatments for Gambling Disorder (GD), help-seeking remains low, and attrition rates are high. Internet-based cognitive behavioral therapy (iCBT) may address barriers to treatment access, but evidence comparing asynchronous iCBT with synchronous CBT (sCBT) is limited.</div></div><div><h3>Objective</h3><div>This study protocol outlines a non-inferiority randomized controlled trial (RCT) comparing the effectiveness of “SpilleFri” (SF), an asynchronous therapist-guided iCBT program, with individual sCBT delivered in-person or via video for adults with GD.</div></div><div><h3>Methods</h3><div>A total of 150 patients diagnosed with GD will be randomized to SF or sCBT. The primary outcome is change in GD severity, measured by the National Opinion Research Center DSM Screen for Gambling Problems (NODS), from baseline to three months post-treatment. Secondary outcomes include gambling behavior, psychological distress, relationship quality, and treatment process variables. Data will be collected at eight time points, including a 12-month follow-up. Non-inferiority will be tested using mixed linear models with a predefined margin of −2 NODS points. Process variables and moderators of treatment response will be explored.</div></div><div><h3>Discussion</h3><div>This trial addresses a critical gap in GD treatment research by directly comparing asynchronous and synchronous CBT formats. If SF proves non-inferior to sCBT, it could offer a scalable, flexible, and resource-efficient alternative for GD treatment. Findings may inform stepped-care models and broaden access to evidence-based interventions.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"22 ","pages":"Article 100642"},"PeriodicalIF":2.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between cannabis use frequency and suicidal thoughts and behaviors: A clinical longitudinal sibling study","authors":"Elisa F. Stern ,&nbsp;Jarrod M. Ellingson ,&nbsp;Jonathan D. Schaefer ,&nbsp;Jesse D. Hinckley ,&nbsp;Michael C. Stallings ,&nbsp;Robin P. Corley ,&nbsp;Christian Hopfer ,&nbsp;Tamara L. Wall ,&nbsp;Soo Hyun Rhee","doi":"10.1016/j.abrep.2025.100620","DOIUrl":"10.1016/j.abrep.2025.100620","url":null,"abstract":"<div><h3>Purpose</h3><div>Cannabis use is associated with increased risk for suicidality. However, the directionality of this association and the role of shared familial influences—such as genetics and environment—remains uncertain. Further, despite higher rates of cannabis use and suicidality endorsement in clinical samples, research in these populations is limited. This study examines cross-sectional and prospective associations between cannabis use and suicidality in a sample characterized by earlier cannabis initiation and heavier use than typically reported, while accounting for shared familial influences.</div></div><div><h3>Method</h3><div>Adolescent sibling groups were recruited from Denver and San Diego (N = 1,261); at least one sibling was recruited from a substance use treatment program, alternative school, or juvenile probation. Participants completed clinical interviews assessing substance use and suicidality at three waves (2001-–2019). Cannabis use frequency was examined as a predictor of suicidality using multilevel models accounting for shared familial influences and within-family clustering. Covariates included alcohol, tobacco, other substance use, age, and sex. Reverse associations and exploratory models assessing tobacco as a predictor were also examined.</div></div><div><h3>Results</h3><div>Cannabis use was not associated with suicidality (all <em>p’s</em> &gt; 0.05). Exploratory analyses suggested a possible association between tobacco and suicidality (e.g., Wave 1 within-family effect: OR = 1.037, <em>p</em> = 0.016), though these associations were largely reduced to non-significance after accounting for other substance use.</div></div><div><h3>Conclusions</h3><div>Findings in this high-risk clinical sample are inconsistent with literature linking cannabis use to suicidality in community samples. Results underscore the need for further research on the association between general and polysubstance use risk and suicidality.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"22 ","pages":"Article 100620"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144288809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychophysiological response of individuals with internet gaming disorder to gaming content from social media","authors":"Daisuke Jitoku ,&nbsp;Nanase Kobayashi ,&nbsp;Yuka Fujimoto ,&nbsp;Chenyu Qian ,&nbsp;Shoko Okuzumi ,&nbsp;Shisei Tei ,&nbsp;Takehiro Tamura ,&nbsp;Hidehiko Takahashi ,&nbsp;Takefumi Ueno ,&nbsp;Junya Fujino","doi":"10.1016/j.abrep.2025.100641","DOIUrl":"10.1016/j.abrep.2025.100641","url":null,"abstract":"<div><div>Despite the increasing clinical recognition of internet gaming disorder (IGD), treatment options remain scarce, and relapse rates are high. One major challenge is the pervasive presence of digital triggers that reinforce gaming behaviors, particularly through social media platforms, which are integral to gaming culture. Further research is needed on how gaming-related social media content affects gaming desire and physiological reactions because this topic remains understudied. This study investigated the effects of gaming-related social media videos on gaming desire and skin conductance response (SCR) in individuals with IGD and healthy controls (HCs) who casually play online games. While participants viewed gaming-related and neutral videos from social media, their gaming desire and SCR were assessed. Correlations between SCR and clinical variables were also examined. Notably, both groups exhibited increased gaming desire and SCR after viewing gaming-related videos compared with those after viewing neutral ones. Although self-reported gaming desire was comparable between groups, the SCR was significantly higher in the IGD group. In the HC group, SCR levels were positively correlated with gaming history. The dissociation between subjective and physiological outcomes may indicate implicit sensitization to gaming-related cues in IGD, suggesting that physiological reactivity could occur independently of self-reported cravings. Our findings can help elucidate the underlying mechanisms of IGD and highlight the need for further research on strategies aimed at managing gaming-related cue exposure in digital environments.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"22 ","pages":"Article 100641"},"PeriodicalIF":2.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between past-year receipt of government assistance, Medicaid, and substance use treatment utilization among adults with substance use disorder in the United States","authors":"Sarah Gutkind ,&nbsp;Morgan M. Philbin ,&nbsp;Emilie Bruzelius ,&nbsp;Silvia S. Martins ,&nbsp;Pia M. Mauro","doi":"10.1016/j.abrep.2025.100628","DOIUrl":"10.1016/j.abrep.2025.100628","url":null,"abstract":"<div><h3>Aim</h3><div>Most people who need substance use disorder (SUD) treatment do not receive care, often due to costs and lack of health insurance. We investigated whether receipt of government assistance and Medicaid among people with SUDs was associated with past-year SUD treatment use.</div></div><div><h3>Methods</h3><div>We included working-age adults (ages 18–64) with any SUD from the 2015–2019 National Survey of Drug Use and Health (n = 21,461). Government assistance was categorized as past-year receipt of ≥1 assistance programs (e.g., SSI, SNAP, welfare, cash assistance). We estimated the adjusted odds of past-year SUD treatment in a) any or b) specialty settings by government assistance or Medicaid receipt using separate logistic regressions among people with past-year SUD. We controlled for socio-demographics (sex, age, race/ethnicity, marital status, education, poverty, urbanicity, employment, private insurance) and survey-year.</div></div><div><h3>Results</h3><div>Among people with SUD, approximately 23 % received government assistance and 19.6 % received Medicaid. Receiving both (12 %) was associated with increased adjusted odds of SUD treatment use in any (aOR = 2.30, 95 % CI: 1.78, 2.97) and specialty (aOR = 2.72, 95 % CI: 2.05, 3.62) treatment settings. Receiving assistance from one or more government programs was associated with approximately 50–60 % higher odds of SUD treatment in any setting and 70–90 % higher odds in specialty settings.</div></div><div><h3>Conclusion</h3><div>Medicaid and government assistance receipt were associated with higher SUD treatment use among people SUD, potentially lowering barriers to treatment access. Receiving at least one government assistance program also increased the likelihood of treatment utilization. Future research should examine which specific government assistance programs may drive associations.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"22 ","pages":"Article 100628"},"PeriodicalIF":2.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145048308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the interplay of substance use, mental health, and help-seeking behavior in college student populations","authors":"Fares Qeadan,&nbsp;Jamie Egbert","doi":"10.1016/j.abrep.2025.100636","DOIUrl":"10.1016/j.abrep.2025.100636","url":null,"abstract":"<div><h3>Background</h3><div>This study examines the intricate relationship between substance use, mental health, and help-seeking behavior, past and future, among United States (U.S.) college students<strong>.</strong></div></div><div><h3>Methods</h3><div>Data consisting of n = 238,118 students’ responses to the National College Health Assessment from fall 2019 through fall 2022 were employed. Unadjusted and adjusted incidence rate ratios representing the relationship between substance classifications and the number of mental health diagnoses were calculated. Unadjusted and adjusted odds ratios for willingness to seek mental health support, past and future, by substance class were also evaluated. Finally, we assessed unadjusted and adjusted odds of having sought and being willing to seek mental health support by substance risk score among students with varying counts of mental health diagnoses.</div></div><div><h3>Results</h3><div>About 12.66 % (n = 30,001) of students reported three or more mental health diagnoses, 54.01 % (n = 128,286) reported past mental health help utilization, while 82.00 % (n = 193,744) reported that they would seek help from a mental health provider in the future if needed. We found a pronounced correlation between the severity of substance use and the prevalence of mental health diagnoses. Notably, intense use of substances such as prescription opioids, heroin, and cocaine correlates with decreased past mental health support utilization. In contrast, substances more socially accepted, like tobacco, alcohol, and cannabis, are associated with increased help-seeking behavior. The research highlights a significant discrepancy between students’ stated willingness to seek future help and actual past help utilization.</div></div><div><h3>Conclusion</h3><div>Interventions should particularly address students dealing with the dual challenges of substance use and mental health issues.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"22 ","pages":"Article 100636"},"PeriodicalIF":2.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145324292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of behavioral economic demand for kratom with DSM-5 use disorder: quantity and likelihood-based demand approaches","authors":"Zachary Pierce-Messick ,&nbsp;Kirsten E. Smith ,&nbsp;Samuel F. Acuff ,&nbsp;Derek D. Reed ,&nbsp;David H. Epstein ,&nbsp;Justin C. Strickland","doi":"10.1016/j.abrep.2025.100638","DOIUrl":"10.1016/j.abrep.2025.100638","url":null,"abstract":"<div><h3>Aims</h3><div>Kratom products have increased in popularity in the United States due to their availability and their purported analgesic and stimulatory properties. We sought to examine if behavioral economic demand procedures widely used in addiction science would identify indicators of problematic kratom use and to evaluate the relative performance of differing demand approaches.</div></div><div><h3>Methods</h3><div>Respondents with a lifetime history of kratom use (N = 117) completed two versions of a hypothetical kratom purchase task. The first version (“Quantity”) followed typical purchase task methods; respondents were asked how much kratom they would purchase across various prices. The second version (“Likelihood”) asked how likely respondents would be to purchase a single dose of kratom across the same price range. Logistic regression was used to determine the association of demand indices with the likelihood of meeting KUD criteria.</div></div><div><h3>Results</h3><div>For the Quantity version, higher demand intensity (OR = 2.16, <em>p</em> = 0.01) and lower demand elasticity (OR = 0.45, <em>p</em> = 0.01) were significantly associated with past year but not lifetime KUD (<em>p</em>’s &gt; 0.10). For the Likelihood version, demand intensity, demand elasticity, and Pmax were not associated with KUD (<em>p</em>’s &gt; 0.10); higher breakpoint was associated with past year, but not lifetime KUD (OR = 1.44, <em>p</em> = 0.04).</div></div><div><h3>Conclusions</h3><div>This study is the first to demonstrate that purchase tasks can quantify the reinforcing efficacy of kratom and emphasizes the temporal specificity of the association between purchase tasks and problem behaviors. These findings also suggest that demand indices from Quantity- and Likelihood-based tasks differentially relate to KUD, emphasizing the importance of task and outcome selection.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"22 ","pages":"Article 100638"},"PeriodicalIF":2.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A short, animated storytelling video to reduce addiction stigma: A pilot randomized controlled trial","authors":"Maxwell Klapow ,&nbsp;Misha Seeff ,&nbsp;Maya Adam ,&nbsp;Merlin Greuel ,&nbsp;Daniel Hoffman ,&nbsp;Jessica R. Rogge ,&nbsp;Andrew Gordon ,&nbsp;Till Bärnighausen ,&nbsp;Doron Amsalem","doi":"10.1016/j.abrep.2025.100622","DOIUrl":"10.1016/j.abrep.2025.100622","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Background and aims&lt;/h3&gt;&lt;div&gt;Public stigma towards people with addiction negatively impacts help-seeking, treatment and recovery. This pilot study tested the feasibility of conducting a large-scale, online trial to measure the effect of a short, animated storytelling (SAS) stigma reduction video, with and without soundtrack, on addiction stigma, optimism, warmth towards people with addiction, and hopefulness at two timepoints (immediately post-exposure and 14 days later).&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Design&lt;/h3&gt;&lt;div&gt;We used a parallel group, three-arm randomized controlled trial (RCT).&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Setting&lt;/h3&gt;&lt;div&gt;We conducted this fully online study on the Prolific Academic research platform (participant recruitment) and the Qualtrics survey platform (data collection).&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Participants&lt;/h3&gt;&lt;div&gt;We recruited 631 English-speaking adult participants, aged 18–49, residing in the United States.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Interventions&lt;/h3&gt;&lt;div&gt;Intervention group A received the SAS video intervention. Intervention group B group received the SAS video intervention without sound. The control group received written information about global addiction prevalence, estimated to be time-equivalent with the video interventions.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Measurements&lt;/h3&gt;&lt;div&gt;We measured participant retention rate at the two-week follow-up to determine the feasibility of conducting the definitive trial. Our co-primary outcomes were addiction stigma, optimism, warmth towards people with addiction and hopefulness, measured using an abbreviated 18-item version of the Attribution Questionnaire (AQ-18), the Brief García’s Interactive Optimism Scale (BIOS-G), a stigma thermometer and a visual analogue scale (VAS). We used repeated-measures ANOVA to assess group-by-time interactions and compared changes from baseline to post-intervention. Participants completed follow-up surveys 14 days post-intervention.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Findings&lt;/h3&gt;&lt;div&gt;The retention rate from baseline to follow-up was 88.0 %. Exposure to both the video with sound and without sound resulted in significant positive changes compared to the control group, for pity [F (4,1046) = 3.26, η&lt;sup&gt;2&lt;/sup&gt; = 0.012, p = 0.011], willingness to help [F (4,1046) = 8.48, η&lt;sup&gt;2&lt;/sup&gt; = 0.031, p &lt; 0.001], dangerousness [F (4,1046) = 2.95, η&lt;sup&gt;2&lt;/sup&gt; = 0.011, p = 0.019], avoidance [F (4,1046) = 4.25, η&lt;sup&gt;2&lt;/sup&gt; = 0.016, p = 0.002], as well as optimism [F (2,595) = 7.7, η&lt;sup&gt;2&lt;/sup&gt; = 0.014, p &lt; 0.001], warmth toward people with addiction [F (2,594) = 6.5, η&lt;sup&gt;2&lt;/sup&gt; = 0.014, p = 0.002], and hopefulness [F (2,594) = 5.4, η&lt;sup&gt;2&lt;/sup&gt; = 0.013, p = 0.005]. No effects were observed for fear or blame stigma sub-scales. These effects were no longer visible at follow-up in this pilot sample. No significant differences were observed between the video with sound and the video without sound.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Conclusions&lt;/h3&gt;&lt;div&gt;This pilot study demonstrates the feasibility of proceeding with","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"22 ","pages":"Article 100622"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating a drink-counting and a breathalyzer-coupled app for monitoring alcohol use: A comparison with timeline followback and peth biomarker","authors":"Josefine Östh ,&nbsp;Andreas Lundin ,&nbsp;Peter Wennberg ,&nbsp;Sven Andréasson ,&nbsp;Anna-Karin Danielsson","doi":"10.1016/j.abrep.2025.100643","DOIUrl":"10.1016/j.abrep.2025.100643","url":null,"abstract":"<div><h3>Aim</h3><div>Accurately measuring alcohol consumption remains a challenge. This study aimed to evaluate two app-based methods, one using drink-count logging and one using a breathalyzer, by comparing them to retrospective self-report (Timeline Followback, TLFB) and a biomarker of alcohol use (Phosphatidylethanol, PEth).</div></div><div><h3>Methods</h3><div>Data were acquired from a randomized controlled trial involving alcohol-dependent adults (n = 110). Standard drinks, drinking days, and heavy drinking days reported via the drink-counting app or breathalyzer, were compared with TLFB data over the 12-week period using Lin’s concordance correlation coefficient (CCC). Correlation with PEth was assessed only at the 12-week mark, using Spearman’s rank correlation coefficient (rho) and Receiver Operating Characteristic (ROC) curves, reporting the area under the curve (AUC).</div></div><div><h3>Results</h3><div>Compared to app-based methods, TLFB consistently identified more drinking days and heavy drinking days. However, the drink-counting app’s estimates were still relatively close to TLFB and demonstrated strong agreement for drinking days across the different time intervals (CCC = 0.71–0.86). The drink-counting app also showed a strong correlation with PEth values for standard drinks and drinking days (rho = 0.74–0.78). In contrast, breathalyzer data generally showed weak agreement with both TLFB and PEth.</div></div><div><h3>Conclusions</h3><div>Although TLFB yielded more drinking and heavy drinking days, the drink-counting app showed strong agreement with TLFB and correlated closely with PEth levels, indicating good validity. In contrast, breathalyzer data showed weaker agreement, likely due to lower usage during drinking episodes. These findings suggest that drink-counting apps could provide a reliable tool for monitoring alcohol use, offering advantages over both retrospective reports and breathalyzer measures.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"22 ","pages":"Article 100643"},"PeriodicalIF":2.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using decision trees to examine risk profiles for cannabis use among large samples of underage youth before and after cannabis legalization in Canada","authors":"Scott T. Leatherdale ,&nbsp;Katelyn Battista ,&nbsp;Karen A Patte ,&nbsp;James MacKillop ,&nbsp;Richard Bélanger","doi":"10.1016/j.abrep.2025.100632","DOIUrl":"10.1016/j.abrep.2025.100632","url":null,"abstract":"<div><h3>Background</h3><div>This paper compares risk profiles for cannabis use among large samples of youth in the school years preceding (2017–18, T₁) and four years following (2021–22, T₂) cannabis legalization in Canada.</div></div><div><h3>Methods</h3><div>COMPASS Study data from students across 85 secondary schools that participated in both the T₁ and T₂ waves were used. A novel classification tree approach examined current cannabis use (past 30-day), modelling complex interactions among multiple risk factors simultaneously in the T₁ and T₂ samples.</div></div><div><h3>Results</h3><div>At T₁, 15.0 % of students reported current cannabis use, compared to 12.3 % of students at T₂. The classification tree at T₁ identified six unique risk profiles. The highest risk group (Pr = 0.269) was large (30.4 % of the sample) and comprised students who placed lower value on getting good grades and spent 45 min or more per day texting. The classification tree at T₂ identified 11 unique risk profiles. The highest risk group (Pr = 0.27) was large (18.8 % of the sample) and comprised students who again placed lower value on getting good grades but also reported not eating breakfast daily and having elevated anxiety.</div></div><div><h3>Discussion</h3><div>Cannabis never use increased and current cannabis use slightly decreased among underage youth in a 4-year period spanning cannabis legalization. The relative importance ranking of risk factors for predicting current cannabis use changed considerably from T₁ to T₂. This suggests that prevention efforts need to adapt over time to target the relevant risk factors associated with cannabis use.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"22 ","pages":"Article 100632"},"PeriodicalIF":2.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145324293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Functional magnetic resonance imaging in adolescent Internet gaming disorder: A systematic review","authors":"Mo Zhu ,&nbsp;Mingzhu Liu ,&nbsp;Xingchen Wang ,&nbsp;Chunli Li ,&nbsp;Juntao Ba ,&nbsp;Xiaojuan Liu ,&nbsp;Wen Yang ,&nbsp;Shaoyuan Wu ,&nbsp;Jingmei Zhong","doi":"10.1016/j.abrep.2025.100637","DOIUrl":"10.1016/j.abrep.2025.100637","url":null,"abstract":"<div><h3>Background</h3><div>Internet Gaming Disorder (IGD), recognized as a non-substance addictive behavior, has been incorporated into the diagnostic frameworks of DSM-5 and ICD-11. Its high prevalence rate (approximately 10 %) and widespread harmful consequences position it as a significant global public health challenge. Functional Magnetic Resonance Imaging (fMRI) technology offers a powerful tool for elucidating the neural mechanisms underlying addictive behaviors. This is particularly relevant during adolescence, a period characterized by high neurobiological plasticity, enabling a deeper understanding of the neurobiological basis of IGD.</div></div><div><h3>Objective</h3><div>This review aims to systematically synthesize the application of fMRI techniques in adolescent IGD research. It integrates empirical findings from resting-state fMRI (rs-fMRI), task-based fMRI (tb-fMRI), and Diffusion Tensor Imaging (DTI) to clarify IGD-associated abnormalities in brain function and structure, and explores their potential for clinical translation.</div></div><div><h3>Methods</h3><div>Relevant literature published between January 2015 and February 2025 was retrieved from PubMed, Web of Science, and Science Direct databases using keyword searches. Twenty-one studies meeting the inclusion criteria (employing fMRI techniques, utilizing defined IGD diagnostic criteria, focusing on adolescent samples aged 10–20 years) were selected. The risk of bias for included studies was assessed using a standardized tool. The analysis encompassed investigations of resting-state functional connectivity (FC), task-based activation patterns, and white matter microstructure.</div></div><div><h3>Conclusion</h3><div>Adolescents with IGD exhibit functional dysregulation within the prefrontal-striatal circuit, hyperactivation of the reward system, and white matter microstructural impairments. These neural abnormalities are closely associated with behavioral disinhibition and cognitive deficits. fMRI research provides a neuroimaging foundation for the objective diagnosis and targeted intervention of IGD. Future research necessitates the integration of multimodal data to optimize clinical applications.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"22 ","pages":"Article 100637"},"PeriodicalIF":2.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145324294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}