Peppermint Tea: Evaluating Its Digestive Benefits, Neuroprotective Effects, and Role in Modern Herbal Medicine
Bibliographic record
Abstract
Peppermint tea has been traditionally used for its medicinal properties, with a growing interest in its application in modern herbal medicine.This study evaluates the digestive benefits, neuroprotective effects, and broader therapeutic potential of peppermint tea by identifying its key bioactive compounds, such as menthol and flavonoids.Additionally, the mechanisms underlying peppermint tea's digestive benefits, including its ability to relax gastrointestinal muscles and influence bile flow, are examined in clinical studies, particularly for irritable bowel syndrome (IBS) and functional dyspepsia.The neuroprotective properties of peppermint tea, such as its modulation of neurotransmitter activity and potential role in preventing neurodegenerative diseases, are also assessed.A case study on clinical trials supports its efficacy and safety, with a review of long-term health benefits in diverse populations.This study highlights peppermint tea's integration into contemporary herbal practices, its safety profile, and potential for future therapeutic applications, offering insights into its role in modern herbal medicine.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".