Alcohol (Hanover, York County, Pa.)最新文献

{"title":"Patterns, Predictors, and Correlates of Problematic Alcohol Use and Remission From Adolescence to Early Midlife","authors":"Megan E. Cooke,&nbsp;Erin Lumpe,&nbsp;Mallory Stephenson,&nbsp;Sally I-Chun Kuo,&nbsp;Peter B. Barr,&nbsp;Sarah J. Brislin,&nbsp;Holly Poore,&nbsp;Fazil Aliev,&nbsp;Maarit Piirtola,&nbsp;Antti Latvala,&nbsp;Jill A. Rabinowitz,&nbsp;Richard J. Rose,&nbsp;Jaakko Kaprio,&nbsp;Danielle M. Dick,&nbsp;Jessica E. Salvatore","doi":"10.1111/acer.70365","DOIUrl":"https://doi.org/10.1111/acer.70365","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The goal of this paper is to identify environmental, behavioral, and genetic predictors and early midlife correlates of problematic alcohol Use (PAU) patterns from adolescence to early midlife.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The data are from 1463 twin individuals (60.5% female) in the population-based FinnTwin12 cohort born 1983–1987. PAU was assessed at ages 14, 22 and 37 using symptoms of alcohol use disorder (AUD) obtained from psychiatric interviews, mmMAST scores, and the AUDIT. Self-reported health and well-being were assessed at age 37. A behavioral and environmental risk index (BERI) was created by summing six risk factors: low socioeconomic status in childhood, family history of AUD, childhood externalizing and internalizing behaviors, adolescent substance use, peer substance use, and stressful life events in adolescence. The twins' genetic predispositions were indexed using polygenic scores for externalizing behavior (PGS_EXT), PAU (PGS_PAU), and depression (PGS_MDD).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Twins were classified into four PAU groups: <i>Never</i> (<i>n</i> = 599, reference), <i>Remitted</i> (<i>n</i> = 480), <i>Persistent</i> (<i>n</i> = 271), and <i>Late-onset</i> (<i>n</i> = 113). When included in the same model, both BERI and PGS_EXT were significantly associated with <i>Remitted</i> PAU, while BERI scores and PGS_PAU were significantly associated with <i>Persistent</i> PAU. Compared to the <i>Never</i> PAU group, individuals in the <i>Persistent</i> and <i>Late-onset</i> PAU groups reported lower educational attainment, poorer physical health, lower relationship satisfaction, lower life satisfaction, a worse financial situation, more depressive symptoms, recurrent pain, and sleep problems, and were less likely to be partnered or have children.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p><i>Persistent</i> PAU was associated with the most negative outcomes in early midlife, and childhood and adolescent risk factors and genetic risk as indexed by PGS_PAU were strong predictors of group membership. <i>Late-onset</i> PAU may be the result of novel stressors in adulthood, given the lack of association with childhood and adolescent environmental risk or genetic risk.</p>\u0000 </section>\u0000 </div>","PeriodicalId":72145,"journal":{"name":"Alcohol (Hanover, York County, Pa.)","volume":"50 7","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/acer.70365","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148343191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sex Differences in Scalp-to-Cortex Distance: Implications for Transcranial Magnetic Stimulation Efficacy in Alcohol Use Disorder","authors":"Kaitlin R. Kinney,&nbsp;Nathanial E. Stewart,&nbsp;Michiyah Kimber,&nbsp;Hannah E. DeMaioNewton,&nbsp;Jazmyne S. James,&nbsp;Nathan R. Luzum,&nbsp;Edward H. Ip,&nbsp;Hilary R. Smith,&nbsp;Drew D. Kiraly,&nbsp;Colleen A. Hanlon,&nbsp;Merideth A. Addicott","doi":"10.1111/acer.70358","DOIUrl":"https://doi.org/10.1111/acer.70358","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Transcranial magnetic stimulation (TMS) is a promising intervention for alcohol use disorder (AUD), yet its efficacy varies widely. Scalp-to-cortex (STC) distance influences the strength of the induced electric field, and preliminary evidence suggests sex-specific craniofacial anatomy may contribute to STC variability. However, the implications of anatomical sex differences for TMS dosing in AUD remain unclear. This study examined whether STC distance and modeled electric field magnitude differ by sex, age, and alcohol use severity across common TMS targets.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>High-resolution structural magnetic resonance imaging was acquired from 107 individuals with AUD (59 females, 48 males). Individualized finite-element head models were generated using SimNIBS to calculate STC distance and electric field strength at four cortical targets: medial prefrontal cortex (Afz), dorsolateral prefrontal cortex (F3), ventromedial prefrontal cortex (Fp1), and motor cortex (C3). Linear mixed-effects models assessed the effects of sex, age, and Alcohol Use Disorders Identification Test (AUDIT) score.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>STC distance differed significantly across sites and was larger in males than in females, with sex differences strongest at Fp1 and C3. No sex differences were observed at Afz or F3. Higher AUDIT scores predicted greater STC distance independent of age. Electric field magnitude varied significantly across sites, with reduced values at midline regions (Afz, Fp1) relative to lateral sites (F3, C3). Electric field magnitude did not differ by sex overall. Age was associated with lower estimated electric field magnitude at the cortical surface. Exploratory sex-stratified analyses indicated a steeper age-related decline in females, particularly at medial prefrontal targets.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Sex-specific and age-related anatomical differences influence cortical depth and effective stimulation strength in individuals with AUD. These findings highlight the need for individualized and potentially sex-tailored TMS dosing strategies, particularly for midline prefrontal targets and for older females who may be more vulnerable to reduced TMS engagement.</p>\u0000 </section>\u0000 </div>","PeriodicalId":72145,"journal":{"name":"Alcohol (Hanover, York County, Pa.)","volume":"50 7","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/acer.70358","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148343139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prenatal Alcohol Exposure and Dysmorphic Features in Adults at Midlife","authors":"Susan A. Stoner,&nbsp;Margaret L. P. Adam,&nbsp;Tamara S. Bodnar,&nbsp;Claire D. Coles,&nbsp;Miguel Del Campo Casanelles,&nbsp;Therese M. Grant,&nbsp;Charlis Raineki,&nbsp;Joanne Weinberg,&nbsp;the Collaborative Initiative on Fetal Alcohol Spectrum Disorders","doi":"10.1111/acer.70359","DOIUrl":"https://doi.org/10.1111/acer.70359","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Dysmorphology examinations have established that fetal alcohol spectrum disorders (FASD) are associated with characteristic physical features from infancy through adolescence. As individuals mature into young adulthood and beyond, the aging process may attenuate characteristic features over time. The purpose of this study was to evaluate FASD-related dysmorphology at midlife.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Subjects (<i>N</i> = 192) were recruited from two longitudinal cohorts and from the general community (<i>M</i>_age = 39.5 years, SD_age = 8.1 years). A majority (<i>n</i> = 132, 68.8%) had an FASD or well-documented prenatal alcohol exposure (PAE). Standard dysmorphology examinations of 23 physical features were conducted, blind to FASD/PAE status. Participants were stratified into experimental groups according to actual or inferred degree of dysmorphology at the time of their initial examination in childhood or adolescence: high dysmorphology or low dysmorphology. Age-matched controls with no diagnosed or suspected FASD formed the third experimental group. Hierarchical multiple and logistic regression analyses were conducted, regressing the 23 physical characteristics on age, race/ethnicity, and sex (Block 1), experimental group (Block 2), and the two-way interactions between experimental group and the demographic variables (Block 3).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Numerous main effects were found for the demographic variables. Controlling for these, main effects for experimental group were found for orbitofrontal circumference, palpebral fissure lengths, philtrum score, vermilion border score, hypoplastic midface, and camptodactyly. Demographics moderated effects of experimental group for philtrum length, philtrum score, and vermilion border score, cardinal features of FASD.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Findings indicate that PAE-related dysmorphological features persist into adulthood and further into midlife and may remain useful in diagnosis of FASD beyond young adulthood. However, as demographic factors appear to impact some of the cardinal features of FASD, age-, gender-, and race-related norms and reference image sets for the sentinel features of FASD in adults of different ages may be helpful in diagnosing individuals in adulthood and beyond.</p>\u0000 </section>\u0000 </div>","PeriodicalId":72145,"journal":{"name":"Alcohol (Hanover, York County, Pa.)","volume":"50 7","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/acer.70359","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148343192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Secondary, Subgroup Analysis of Alcohol Cue-Exposure Craving in Response to Pharmacological Inhibition of the Growth Hormone Secretagogue Receptor With PF-5190457","authors":"Ryan E. Tyler,&nbsp;Valerie Espinal Abreu,&nbsp;Mehdi Farokhnia,&nbsp;Lorenzo Leggio","doi":"10.1111/acer.70366","DOIUrl":"https://doi.org/10.1111/acer.70366","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Ghrelin is the endogenous agonist of the growth hormone secretagogue receptor (GHSR), which is a potential novel pharmacotherapeutic target for alcohol use disorder (AUD). PF-5190457 is a GHSR inverse agonist and the first GHSR inhibitor to advance to human trials. Our lab conducted two placebo-controlled human laboratory studies to investigate the effects of PF-5190457 (100 mg/day) on alcohol craving in an alcohol cue-exposure paradigm. Study 1 found reduced craving under drug versus placebo, whereas Study 2 did not replicate these findings, likely due to a floor effect and reflective of the differences in AUD populations (Study 1: active drinkers; Study 2: abstinent, inpatient).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The present work is a secondary analysis combining these datasets and using subgroups based on alcohol cue-reactivity (“cue-reactors,” CR⁺ vs. “nonreactors,” CR⁻) or the Penn Alcohol Craving Scale (“PACS high cravers” vs. “PACS low cravers”) as an additional independent variable to reanalyze the effects of PF-5190457 on alcohol craving (Alcohol Urge Questionnaire [AUQ]) following a “relaxation” trial (no cues) and an “alcohol cue” trial (mock bar-lab and preferred alcohol-containing drink). Cue-reactivity was calculated as the difference in AUQ between trials (AUQ_Alc-AUQ_Rel) and analyzed by subgroups as a separate outcome.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>PF-5190457 reduced AUQ scores relative to placebo following the alcohol cue trial in the CR⁺ subgroup, but not the CR⁻ subgroup. PF-5190457 also reduced AUQ compared to placebo following both the relaxation and alcohol cue trial in the PACS high craver subgroup, but not in the PACS low craver subgroup. Cue-reactivity was not affected by PF-5190457 in any subgroup analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>These results are preliminary and based on secondary analyses, but suggest that PF-5190457 could help reduce general, self-reported craving for alcohol in high-craving individuals.</p>\u0000 </section>\u0000 </div>","PeriodicalId":72145,"journal":{"name":"Alcohol (Hanover, York County, Pa.)","volume":"50 7","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148343190","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":"Articles of Public Interest","authors":"","doi":"10.1111/acer.70368","DOIUrl":"https://doi.org/10.1111/acer.70368","url":null,"abstract":"","PeriodicalId":72145,"journal":{"name":"Alcohol (Hanover, York County, Pa.)","volume":"50 6","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148324867","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":"Urine Proteomic Profiling at Admission Reveals Complement Biomarkers Linked to Alcohol-Associated Liver Disease","authors":"Luan Prado,&nbsp;Ryan Musich,&nbsp;Moyinoluwa Taiwo,&nbsp;Vai Pathak,&nbsp;Daniel M. Rotroff,&nbsp;Annette Bellar,&nbsp;Nicole Welch,&nbsp;Jaividhya Dasarathy,&nbsp;David Streem,&nbsp;for the AlcHepNet,&nbsp;Srinivasan Dasarathy,&nbsp;Laura E. Nagy","doi":"10.1111/acer.70353","DOIUrl":"https://doi.org/10.1111/acer.70353","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Aims</h3>\u0000 \u0000 <p>Circulating complement is associated with occurrence of alcohol-associated hepatitis (AH) and is a potential biomarker to distinguish AH from alcohol cirrhosis (AC). Complement contributes to kidney injury, a condition often occurring in patients with alcohol-associated liver disease (ALD). However, little is known regarding complement in cross talk between liver and kidney in ALD. Here, we tested the hypothesis that urinary complement would provide potential biomarkers for ALD and insights into mechanisms of liver–kidney cross talk in the pathogenesis of ALD.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Plasma and urine were collected at admission from patients with severe alcoholic hepatitis (sAH), healthy controls (HC), and heavy drinkers without liver disease (HD) (from the multicenter Alcohol Hepatitis Network) and with AC (from the Northern Ohio Alcohol Center). Urine was subjected to unbiased proteomics analysis and plasma complement assessed by multiplex/ELISA assays. Thirty- and 90-day mortality was tracked in patients with sAH.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>All three complement activation pathways were perturbed in plasma and urine of patients with sAH and AC compared to HC and HD. Components of the lectin and classical pathways in urine were associated with 30- and 90-day mortality in patients with sAH. When four complement proteins were combined, they distinguished sAH from AC (AUC 0.78), equivalent to that of model for end-stage liver disease (MELD) (AUC 0.65). There was no correlation between complement in plasma and urine, suggesting an independent impact of sAH on complement in kidney and liver.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The urinary proteome revealed complement protein signatures associated with sAH and AC, providing valuable insights into the potential for complement biomarkers and the mechanisms of liver–kidney cross talk in ALD.</p>\u0000 </section>\u0000 </div>","PeriodicalId":72145,"journal":{"name":"Alcohol (Hanover, York County, Pa.)","volume":"50 6","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/acer.70353","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148324423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring Phosphatidylethanol Cutoffs for Self-Reported Unhealthy Alcohol Use: An International Multi-Site Analysis","authors":"Pamela M. Murnane,&nbsp;Fan Xia,&nbsp;Majid Afshar,&nbsp;Jennifer L. Brown,&nbsp;Gabriel Chamie,&nbsp;Robert L. Cook,&nbsp;Marie Claude Couture,&nbsp;Ralph J. DiClemente,&nbsp;Robin Fatch,&nbsp;Tekeda Ferguson,&nbsp;Joel M. Francis,&nbsp;Jessica E. Haberer,&nbsp;Karen R. Jacobson,&nbsp;Amy C. Justice,&nbsp;Saidi Kapiga,&nbsp;Theresa W. Kim,&nbsp;Evgeny Krupitsky,&nbsp;Gregory M. Marcus,&nbsp;Patricia E. Molina,&nbsp;Winnie R. Muyindike,&nbsp;Bronwyn Myers,&nbsp;Kimberly Page,&nbsp;Shane A. Phillips,&nbsp;Mariann R. Piano,&nbsp;Veronica L. Richards,&nbsp;Kaku So-Armah,&nbsp;Scott Stewart,&nbsp;Mark S. Sulkowski,&nbsp;Phyllis C. Tien,&nbsp;Sarah Woolf-King,&nbsp;Judith A. Hahn","doi":"10.1111/acer.70361","DOIUrl":"10.1111/acer.70361","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Unhealthy alcohol use is a preventable cause of morbidity and mortality, yet screening is hampered by inaccurate reporting. Phosphatidylethanol (PEth) is a biomarker that quantifies total drinking over the past 2–4 weeks, but PEth cutoffs for unhealthy drinking have not been well-examined.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We pooled data from 22 studies (11,088 persons globally) that previously collected PEth and self-reported alcohol use. Within a 90% training set, we calculated PEth cutoffs per Youden's <i>J</i> in 1000 bootstrapped samples and explored differences by region, age, sex, race/ethnicity, body mass index (BMI), HIV status, hemoglobin level, and an indirect serum marker of liver fibrosis, FIB-4. For each cutoff, we estimated sensitivity, specificity, and positive and negative predictive values in a 10% validation dataset. We used two definitions for self-reported unhealthy drinking per Alcohol Use Disorders Identification Test Consumption (AUDIT-C) and National Institute on Alcohol Abuse and Alcoholism (NIAAA).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Optimal PEth cutoffs using self-reported alcohol use as the reference standard differed substantially by region. The cutoff for AUDIT-C-measured unhealthy alcohol use in studies from the United States (US) was 14.0 ng/mL (95% CI: 12.3–18.6) with 73.0% sensitivity (95% CI: 67.3–79.1) and 77.4% specificity (95% CI: 73.2–81.4); and was 65.7 ng/mL (95% CI 19.3–90.7) in studies from Africa, with 71.7% sensitivity (95% CI: 64.4–78.7) and 65.2% specificity (95% CI: 58.1–72.7). Cutoffs for AUDIT-C did not differ between subgroups in the US, but within Africa, cutoffs were higher for men and lower for those with BMI ≥ 25 kg/m². Cutoffs for NIAAA defined unhealthy alcohol use were similar to those using the AUDIT-C.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Using self-report as the reference standard, PEth cutoffs differed substantially by region and by some other characteristics, which may be attributable to differences in PEth formation, elimination and/or reporting bias. Further work using objective gold-standard measures of alcohol consumption is needed for more definitive conclusions.</p>\u0000 </section>\u0000 </div>","PeriodicalId":72145,"journal":{"name":"Alcohol (Hanover, York County, Pa.)","volume":"50 6","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/acer.70361","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148320908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Poster Abstracts","authors":"","doi":"10.1111/acer.70314","DOIUrl":"https://doi.org/10.1111/acer.70314","url":null,"abstract":"","PeriodicalId":72145,"journal":{"name":"Alcohol (Hanover, York County, Pa.)","volume":"50 S1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148274838","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":"49th Annual RSA Scientific Meeting: June 20–24, 2026, San Antonio, TX","authors":"","doi":"10.1111/acer.70317","DOIUrl":"https://doi.org/10.1111/acer.70317","url":null,"abstract":"","PeriodicalId":72145,"journal":{"name":"Alcohol (Hanover, York County, Pa.)","volume":"50 S1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148274811","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":"Texas Research Society on Alcoholism—36th Annual Scientific Meeting","authors":"","doi":"10.1111/acer.70315","DOIUrl":"https://doi.org/10.1111/acer.70315","url":null,"abstract":"","PeriodicalId":72145,"journal":{"name":"Alcohol (Hanover, York County, Pa.)","volume":"50 S1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148274840","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}