Current Addiction Reports当代成瘾报告
Current Addiction Reports(英文缩写 CURR ADDICT REP),ISSN 2196-2952,eISSN 2196-2952,中文译名:当代成瘾报告 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-10-01 至 2026-09-30，按本站收录文献的发表日期统计。
期刊介绍
Current Addiction Reports 最新收录文献
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1. Regulatory Whack-a-mole: A Rapid Scoping Review of Gambling Marketing Restrictions and their (in)Effectiveness.
1. 监管打地鼠：关于赌博营销限制及其（无）有效性的快速范围综述PMID:日期:2026-09-17Gambling marketing increases participation, spending, and harm. Marketing restrictions represent the best regulatory response. Decades of tobacco and alcohol marketing regulation demonstrate a recurring pattern in which each restriction triggers industry adaptation through, e.g., channel substitution, alibi marketing, and the exploitation of regulatory gaps. However, no review has systematically assessed gambling operator adaptations to marketing restrictions. This review examines the effectiveness of gambling marketing restrictions implemented globally between 2010 and 2026, in light of these potential adaptations. Fifty records spanning 13 jurisdictions were synthesised across six gambling marketing restriction categories. (1) , (2) , and (3) were consistently undermined by poor operator compliance, redistribution of advertising to less regulated platforms, and narrow regulatory scopes leaving the majority of marketing exposure unregulated. (4) yielded the strongest behavioural evidence, with sustained reductions in customer acquisition and money gambled, though operators restrategised by redirecting promotional effort towards retaining existing customers. (5) curtailed on-platform content but not external gambling website traffic or underage exposure. (6) were circumvented through alibi marketing, transitional exemptions, and reallocation of spend to unregulated, operator-owned media channels. Regulatory displacement was evident across all six categories. Operators consistently migrated marketing activity to less regulated channels, formats, and strategies following each restriction, mirroring the established regulatory trajectories of tobacco and alcohol marketing. Effective gambling marketing regulation requires statutory, comprehensive, and future-proof frameworks rather than the voluntary, circumventable, and reactive approaches evaluated in this review. The online version contains supplementary material available at https://doi.org/10.1007/s40429-026-00793-5.
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2. Using Mobile Technology to Study Episodes of Alcohol Self-Administration in Daily Life: A Narrative Review.
PMID:日期:2026-09-11Prior research has identified risk factors for alcohol consumption and development of alcohol use disorder (AUD), but relatively less is known about in-the-moment predictors of risk during real-world drinking events. This narrative review focuses on recent research using event-contingent ecological momentary assessment (EMA) to characterize predictors of alcohol use and drinking-related risk among adults in their natural environments. Recent studies using event-contingent EMA, including those employing high resolution EMA (HR-EMA) designs, have highlighted important intra-episode risk factors for heavy drinking including momentary changes in drinking context, alcohol craving, subjective intoxication and alcohol responses, and drinking topography. An emerging body of research suggests that existing event-contingent EMA protocols may benefit further by incorporating new mobile alcohol sensor technologies. Supported by recent advances in mobile technologies, event-contingent EMA is a valuable tool for studying how individual differences in-the-moment factors inform alcohol use and drinking-related consequences.
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3. Neural Correlates of Emotion Regulation in Substance Use.
PMID:日期:2026-08-22Emotion regulation (ER) is a central process implicated in the development, maintenance, and escalation of substance use (SU) and substance use disorders (SUDs). Advances in functional magnetic resonance imaging (fMRI) have enabled characterization of neural systems underlying emotional processing, inhibitory control under emotional conditions, and deliberate ER in individuals engaging in SU. This review synthesizes recent neuroimaging findings related to ER and SU across three primary paradigms: emotional Go/No-Go tasks, cognitive reappraisal tasks, and implicit ER paradigms. Across paradigms, SU is associated with altered engagement of frontolimbic, salience, and frontoparietal control networks, particularly during negative emotional contexts. Emotional Go/No-Go studies suggest that SU-related differences are most pronounced when inhibitory demands intersect with emotional salience. Cognitive reappraisal findings indicate disrupted recruitment and coordination of prefrontal-limbic systems during deliberate ER associated with SU, though results remain limited and mixed. Implicit ER paradigms further demonstrate context-dependent alterations in limbic reactivity and prefrontal connectivity associated with SU, with developmental and sex-specific patterns emerging in adolescent samples. Longitudinal findings suggest that some neural differences may precede SU initiation, whereas others may reflect consequences of chronic substance exposure. Collectively, this literature indicates that altered coordination between emotional salience detection and cognitive control systems represents a key neurobiological mechanism linking ER and SU. Future work integrating longitudinal, ecologically valid, and intervention-based designs will be critical for clarifying directionality and identifying modifiable neural targets to inform prevention and treatment efforts.
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4. Prevalence of, and Gender Differences in College Students' Experiences of Alcohol-Related Regretted Sex: a Scoping Review.
PMID:日期:2026-06-26College students' alcohol-related regretted sex is linked to adverse health outcomes. However, studies report inconsistent prevalence estimates and gender differences. A search of five databases yielded 15 studies. Lifetime alcohol-related regretted sex prevalence ranged from 14%-48% for women and 38%-47% for men; past year ranged 18%-34% for women and 22%-28% for men; past six months was reported as 18% for women and 15% for men; past month was 12% for women and 11% for men. Two studies found men more likely to regret alcohol-related sex, one found women more likely, two reported mixed results, and 10 found no significant gender differences. Findings suggest alcohol-related regretted sex is not a consistently gendered phenomenon among college students which has implications for the development of universal vs. group-specific interventions. Longitudinal studies of types of regretted sex among diverse students are needed to examine changes over time and inform age-specific interventions. The online version contains supplementary material available at 10.1007/s40429-026-00764-w.
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5. Progressing from Simple to Multidimensional Models Towards a Biopsychosocial Framework of Addiction.
PMID:日期:2026-06-11Neuroscientific models of addiction have evolved over the past four decades from single-circuit dopamine frameworks to dual-process, tripartite, and multidimensional accounts. Despite these advances, existing models incompletely account for the lived experience of addiction and for developmental, social, and mental-health factors that contribute to heterogeneity in risk and outcome. This review synthesizes this progression and evaluates the need for more integrative frameworks. Recent work highlights addiction-related alterations in large-scale brain networks and demonstrates that psychosocial and contextual factors play a more central mechanistic role than previously acknowledged. Emerging interventions, including psychedelic-assisted therapies, further underscore the relevance of multilevel change across neurobiological, cognitive, and affective domains. Framing addiction as a multilevel, interactive process within a biopsychosocial framework provides a unifying perspective that accommodates heterogeneity in pathways and outcomes. Integrative models may better inform mechanistic research and guide the development of more precise, clinically meaningful interventions.
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7. Identifying impulsivity and substance use measures in neuroimaging datasets: A scoping review and searchable dataset repository for researchers.
PMID:日期:2026-04-16Impulsivity is a risk factor for problematic substance use. Understanding its neural underpinnings requires large neuroimaging samples, which are difficult and costly to obtain. This scoping review aimed to identify open-access datasets that allow researchers to investigate the neural basis of impulsivity in relation to substance use. We searched PubMed, Scopus, and major data repositories. 35 openly available datasets with over 200 participants (ranging from 200 - 500,000) were identified that contain 1) impulsivity, 2) substance use, and 3) neuroimaging measures. We compiled this information into a searchable, interactive Shiny-based application to help researchers identify relevant datasets. Although access to large datasets is improving, more progress is needed to ensure data are findable, accessible, interoperable, and reusable. This review lowers barriers to using open-access data by guiding researchers toward available datasets relevant to the neural basis of impulsivity and substance use, as well as provides recommendations for future data sharing.
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8. Joint Relations Among Cannabis, Sleep, and Affective Symptomatology: A Scoping Review.
PMID:日期:2026-04-16This scoping review used a five-stage framework to evaluate empirical studies positing anxiety and depression as mechanisms or moderators in associations between cannabis use and sleep. Applicable peer-reviewed studies were identified in Google Scholar and PubMed using relevant search terms (e.g., cannabis, sleep, depression, anxiety). Of the 20 articles included, most examined cannabis effects on sleep using prospective designs with adults recruited based on anxiety and/or depression symptomatology. Fewer studies tested bidirectional associations between cannabis and sleep. Among adults reporting clinically significant symptoms of anxiety and depression at baseline, certain cannabis product formulations were associated with concurrent and prospective improvements in subjective sleep phenotypes. However, this pattern of findings was not evident among those without anxiety/depression, none of the designs were experimental, and only one study included objective sleep measures. Providers should be aware that cannabis' perceived sleep benefits are more pronounced among those with anxiety/depressive disorders. Experimental research with objective measures testing how and for whom sleep and cannabis are linked is needed.
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9. Nicotine and Cannabis Co-Use and Sleep-Related Outcomes in Adults: A Narrative Review and Implications.
PMID:日期:2026-04-11Sleep is a critical determinant of physical and mental health, and substance use may affect sleep. Despite rising nicotine-cannabis co-use among adults, its impact on sleep remains poorly understood. This narrative review synthesizes recent evidence on nicotine-cannabis co-use and sleep-related outcomes in adults, highlighting patterns, methodological limitations, and future research directions. Although substantial literature has examined nicotine or cannabis use and sleep independently, few studies have evaluated their combined effects. Only six studies published between 2015-2025 examined nicotine-cannabis co-use and sleep outcomes in adults. Co-use definitions varied (e.g., concurrent or dual use) and included multiple forms of nicotine and cannabis use (e.g., vaping or smoking). Sleep outcomes were primarily assessed via subjective measures (self-reported scales), with only one study using an objective measure (actigraphy-derived rest-activity rhythms). Findings were mixed: three studies linked co-use to poorer sleep, including short or long sleep duration, sleep disturbances, and disrupted rest-activity rhythms, and three studies reported null associations, potentially reflecting differences in populations, sample sizes, co-use definitions, or heterogeneity in sleep assessments. Nicotine-cannabis co-use is prevalent and may confer greater sleep-related risks than single-substance use, with nicotine may drive most effects. However, evidence from the past 10 years is limited by a small number of studies with heterogeneous co-use definitions, small or non-representative samples, reliance on self-report, and cross-sectional study designs. Future research should standardize co-use definitions, incorporate validated objective sleep measures (e.g., polysomnography), assess timing, frequency, dose and use longitudinal designs to clarify causal relationships.
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10. Natural Language Processing for Substance Use Disorder Information Extraction: A Systematic Literature Review.
PMID:日期:2026-04-11To examine the use of natural language processing (NLP) for substance use disorder (SUD) information extraction. 623 studies were reviewed, of which 35 met inclusion criteria. 1 paper (2.9%) was alcohol-related, 12 (34.3%) were opioid-related, 6 (17.1%) were tobacco-related, and 16 (45.7%) included multiple SUDs. Of the three types of NLP categorized for this analysis, 65.7% followed a Rule-Based approach, 37.1% followed a Machine-Learning approach, and 11.4% followed a Deep-Learning approach. NLP methods were categorized into three groups, with 43% as "Most common use" (e.g., concept extraction), 20-35% as "Regular use" (e.g., regular expressions), and < 10% as "Rare use" (e.g., sentiment analysis). Various software applications were used in each included paper, with Python leading (10 papers), followed by cTAKES (9 papers), NegEx (6 papers), R (4 papers) and others. Multiple evaluation metrics were used in each included paper; Multiple SUDs (6 papers) utilized a comparison of F1 scores and ROC AUC, followed by Tobacco (4 papers), Opioids (3 papers), and Alcohol (1 paper), each with acceptable-to-outstanding ROC AUC scores ( > = 0.7) and good-to-excellent F1 scores ( > = 0.7). Most papers included in this systematic review encompassed multiple SUDs following Rule-Based approaches, "Most common use" NLP methods (e.g. concept extraction), and familiar software applications (e.g. Python). Evaluation metrics for SUD papers utilizing NLP included common performance metrics, with ROC AUC and F1 scores achieving acceptable-to-outstanding discrimination between classes and good-to-excellent balance between precision and recall, respectively. The future direction of NLP for SUD information extraction could make use of Machine- or Deep-Learning approaches, advanced methods including Regular expressions or Sentiment analysis, and/or advanced software packages designed specifically for NLP endeavors, to better inform public health research and clinical decision making.