Clinical Evaluation of Hovenia dulcis Extract Combinations for Effective Hangover Relief in Humans
Why this work is in the frame
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Bibliographic record
Abstract
Alcohol consumption is associated with both short- and long-term adverse effects, including hangover symptoms. The objective of this study was to examine the potential benefits of traditional beverages containing a combination of Hovenia dulcis extract (HD) with either Pueraria lobata extract (HDPB) or glutathione yeast extract (HDGB) in abbreviating alcohol intoxication and mitigating hangover symptoms. A total of 25 participants between the ages of 19 and 40 who had previously experienced a hangover were evaluated in a randomized, double-blind, crossover, placebo (PLA)-controlled clinical trial. Results showed that lower blood alcohol concentrations in the HDPB and HDGB groups were significantly lower than in the PLA group at 0.25 and 0.5 h, suggesting that HD aids in early alcohol metabolism (0 h, p < 0.05). Analysis of the hourly Acute Hangover Scale (AHS) showed that all treatment groups had significantly reduced gastrointestinal disorder symptoms compared to the PLA group (p < 0.05). It can be confirmed that hangover symptoms can be significantly improved by consuming HD combination drinks, apart from the effect of reducing blood alcohol and acetaldehyde concentrations. Therefore, it is predicted that the consumption of natural phytochemicals added to HD is safe for humans and may help accelerate recovery from hangover symptoms.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it