Effects of acute alcohol administration on endocannabinoids and relation to subjective effects
Bibliographic record
Abstract
RATIONALE: Harmful alcohol use remains a significant global public health challenge. Examining variability in the acute subjective effects of alcohol and related neurobiological mechanisms may advance the understanding of susceptibility to harmful alcohol use. Research suggests the endocannabinoid (eCB) system may play an important role in mediating the reinforcing effects of alcohol. This study examined the relationship between alcohol-induced changes in eCB concentrations and the subjective psychoactive effects of acute alcohol consumption. METHOD: Healthy social drinkers (n = 28, aged 20-35 years) participated in a within-subjects, single-blind, placebo-controlled laboratory alcohol challenge study. Alcohol (0.6 g/kg; with 20% adjustment for women) and placebo sessions were counterbalanced. Subjective alcohol effects were assessed from self-report questionnaires administered pre- and post-dosing, including the Biphasic Alcohol Effects Scale (BAES), Drug Effects Questionnaire (DEQ), and Profile of Mood States (POMS). The eCBs, N-arachidonoylethanolamine (anandamide; AEA) and 2-arachidonylglycerol (2-AG), were assessed from blood plasma taken throughout the dosing session. RESULTS: Acute alcohol was associated with an overall decrease in 2-AG concentrations compared to placebo. Further, we found that a drop in 2-AG concentrations was associated with less drug 'liking' and feelings of 'friendliness', whereas under placebo conditions, a rise in 2-AG was associated with a smaller decrease in feelings of 'stimulation' (e.g., feeling energized, talkative). Alcohol did not significantly affect AEA concentrations. CONCLUSION: Our study provides the first evidence that eCBs may contribute to individual differences in sensitivity to alcohol's reward-related mechanisms by influencing subjective experience, offering insight into the potential role of eCBs in the processes underlying harmful alcohol use.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".