ArticleAddiction biology2022
Binge and high-intensity drinking-Associations with intravenous alcohol self-administration and underlying risk factors.
Article in Addiction biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Aversion-resistant alcohol seeking in the human laboratory.Alcohol, clinical & experimental research · 2025Trial
- Effects of short-term abstinence on alcohol elimination rate: Sex differences and method comparisons using the intravenous alcohol clamp.Alcohol (Fayetteville, N.Y.) · 2026Article
- Sex-Based Mechanisms of Stress-Induced Alcohol-Seeking.Behavioral sciences (Basel, Switzerland) · 2026Article
- Association between TyG-related indices and in-hospital acute heart failure in patients with acute myocardial infarction after emergency percutaneous coronary intervention.Frontiers in endocrinology · 2026Article
- Contributions of testosterone to excessive alcohol drinking in males: Potential role for interactions with the HPA axis.Alcohol (Fayetteville, N.Y.) · 2025Review
- Pace of alcohol drinking during in natural-environment drinking is associated with heightened alcohol-related reward and negative consequences in risky drinkers.Psychopharmacology · 2025Article
- Left Ventral Caudate Functional Connectivity Mediates the Relationship Between Habitual Responding and Alcohol Use.The European journal of neuroscience · 2025Article
- Binge and high-intensity drinking-Associations with intravenous alcohol self-administration and underlying risk factors.Addiction biology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 5 institutions in 2 countries.
Funding
Abstract
Some styles of alcohol consumption are riskier than others. How the level and rate of alcohol exposure contribute to the increased risk of alcohol use disorder is unclear, but likely depends on the alcohol concentration time course. We hypothesized that the brain is sensitive to the alcohol concentration rate of change and that people at greater risk would self-administer faster. We developed a novel intravenous alcohol self-administration paradigm to allow participants direct and reproducible control over how quickly their breath alcohol concentration changes. We used drinking intensity and the density of biological family history of alcohol dependence as proxies for risk. Thirty-five alcohol drinking participants aged 21-28 years provided analytical data from a single, intravenous alcohol self-administration session using our computer-assisted alcohol infusion system rate control paradigm. A shorter time to reach 80 mg/dl was associated with increasing multiples of the binge drinking definition (p = 0.004), which was in turn related to higher density of family history of alcoholism (FHD, p = 0.04). Rate-dependent changes in subjective response (intoxication and stimulation) were also associated with FHD (each p = 0.001). Subsequently, given the limited sample size and FHD range, associations between multiples of the binge drinking definition and FHD were replicated and extended in analyses of the Collaborative Study on the Genetics of Alcoholism database. The rate control paradigm models binge and high-intensity drinking in the laboratory and provides a novel way to examine the relationship between the pharmacokinetics and pharmacodynamics of alcohol and potentially the risk for the development of alcohol use disorders.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.