Binge and high-intensity drinking-Associations with intravenous alcohol self-administration and underlying risk factors.
- Authors
- Plawecki, Martin H; Boes, Julian; Wetherill, Leah; Kosobud, Ann E K; Stangl, Bethany L; Ramchandani, Vijay A; Zimmermann, Ulrich S; Nurnberger, John I; Schuckit, Marc; Edenberg, Howard J; Pandey, Gayathri; Kamarajan, Chella; Porjesz, Bernice; Foroud, Tatiana; O'Connor, Sean
- Year
- 2022
- Journal
- Addiction biology
- PMID
- 36301209
- DOI
- 10.1111/adb.13228
- PMCID
- PMC9786574
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.
Exposure rate selection and subjective response determination sequence. The task began with an initial exposure rate selection, with the display indicating no past rate of change (baseline). During each 3 min epoch, beginning at 2.5 min, a set of subjective responses were collected over approximately 20 s after which time the next exposure rate selection prompt was displayed, indicating the prior selection in the left hand (shaded) portion of the display. The choice and subjective response sequence was repeated throughout the experiment. The next exposure rate was then selected by rotation of the response button (Griffin Technologies Powermate®, depiction inset) to a position within the available range depicted in grey. The arrow position followed the button rotation in real time, and the rate chosen is confirmed by a single button press.
Alcohol self‐administration trajectories. Individual BrAC time courses and average time course for the DI groups are displayed. Mean times to reach 80 mg/dl are noted by vertical lines.
Survival analysis of time to a binge alcohol exposure of 80 mg/dl. Kaplan–Meier curves show that drinking intensity group significantly predicted the time until a subject reached binge drinking BrAC threshold (p = 0.004). Five total participants did not reach 80 mg/dl, demarcated by the high and moderate group's survival probability remaining non‐zero at 120 min.
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