[Literature research and discussion on properties of a new oversea-introduced traditional Chinese medicine Malaysian ginseng(Tongkat Ali)].
Bibliographic record
Abstract
Tongkat Ali(Eurycoma longifolia Jack.) is a medicinal plant of Simaroubaceae in Southeast Asia, with centuries of medicinal history. Rich clinical and pharmacological research results have been attained for this plant, which demonstrates diverse and definite effects and high safety, showcasing advantages and broad market prospects to be introduced as a new medicinal plant. Currently, E. longifolia is cultivated in Hainan and Guangdong in China. However, it has not been utilized for the medicinal purpose in China, and the systematic study on its traditional Chinese medicine(TCM) properties remains to be carried out. This paper comprehensively reviews and analyzes the application history, clinical trials, biological activities, chemical composition, and safety of Tongkat Ali and probes into its TCM properties. The results suggest that Tongkat Ali is sweet, bitter, pungent, and plain, with tropism to the kidney, spleen, and liver meridians. Tongkat Ali has the main functions of tonifying kidney and replenishing essence, invigorating spleen and replenishing Qi, and soothing liver and relieving depression. The clinical applications of Tongkat Ali encompass kidney essence deficiency, sex apathy, spleen Qi deficiency, fatigue, liver depression and Qi stagnation. The recommended dosage and usage of this medicine are 2-10 g daily and decoction with water, respectively. This study aims to facilitate the compatible use and product development of Tongkat Ali while providing reference for introducing it as a new TCM resource and studying the TCM properties of ginseng plants abroad.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".