Clinical implications of tolerance to alcohol in nondependent young drinkers
Abstract
BACKGROUND: Ten percent of teenagers and young adults with no alcohol diagnosis and a third of those with alcohol abuse report tolerance to alcohol. However, relatively few data are available on the clinical implications of tolerance in nondependent men and women. METHODS: Data were gathered from 649 18-to-22-year-old drinking offspring from the Collaborative Study on the Genetics of Alcoholism (COGA) families. The prevalence and clinical correlates of tolerance were evaluated across subjects with no DSM-IV alcohol abuse and no tolerance, similar individuals with tolerance, subjects with alcohol abuse but no tolerance, and individuals with both alcohol abuse and tolerance. RESULTS: Tolerance was associated with an almost doubling of the number of drinks needed to feel alcohol's effects, and correlated with additional alcohol-related problems. In regression analyses, the most consistent and robust correlates of tolerance were the maximum number of drinks and alcohol problems, and tolerance remained informative after covarying for drinking quantity. CONCLUSIONS: Tolerance to alcohol may be a useful concept regarding nondependent drinkers that is not just a proxy for alcohol quantity but also reflects the presence of additional problems.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Tolerance theory implies that attenuation of subjective alcohol responses over time plays a key role in the development of addiction.
“Tolerance, a diagnostic criteria for AUD from DSM-III (1980) to DSM-5 (2013)(8), implies that attenuation of subjective alcohol responses over time plays a key role in the development of addiction.”
From A Prospective 5-Year Re-examination of Alcohol Response in Heavy Drinkers Progressing in Alcohol Use Disorder (2016) · cites this paper as [4]
The citation lists haven’t been fetched yet
References 30 · Cited by 36
- Authors
- Schuckit, M. A., Smith, T. L., Hesselbrock, V., Bucholz, K. K., Bierut, L., Edenberg, H., Kramer, J., Longacre, E., Fukukura, T., Kalmijn, J., Danko, G. P., & Trim, R.
- Affiliations
- University of California San Diego (US)
- UConn Health (US)
- Washington University in St. Louis (US)
- Indiana University Indianapolis (US)
- University of Iowa (US)
- ORCID
- Venue
- The American Journal of Drug and Alcohol Abuse
- Publisher
- Informa UK Limited
- Published
- 2008-01
- Volume
- 34
- Issue
- 2
- Pages
- 133-149
- ISSN
- 0095-2990 (ISSN-L)
- 1097-9891
- OpenAlex
- W2169401289
- Cited by
- 36
- References
- 30
- Citations by year
- 2025: 4 · 2024: 4 · 2023: 3 · 2022: 2 · 2020: 1 · 2019: 4 · 2018: 1 · 2017: 2 · 2016: 2 · 2015: 2 · 2014: 2 · 2013: 1 · 2012: 3
- FWCI
- 1.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The American Journal of Drug and Alcohol Abuse (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (U10AA008401)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
- Health Sciences › Medicine › Pharmacology › Coffee research and impacts
- Keywords
- alcohol tolerance, alcohol abuse, alcohol-related problems, drinking quantity, alcoholism, Collaborative Study on the Genetics of Alcoholism, adolescents and young adults
- MeSH terms
- Adolescent, Adult, Alcohol Drinking, Alcoholism, Drug Tolerance, Female, Humans, Male, Regression Analysis, Risk, United States, Prevalence, Multivariate Analysis, Substance-Related Disorders
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review