Centrapalus pauciflorus: Review of its Medicinal uses, Phytochemistry and Pharmacological Properties
Bibliographic record
Abstract
Centrapalus pauciflorus is a herbaceous plant that is used as a traditional medicine and a source of epoxidised oil. This study is aimed at providing a critical review of the pharmacological properties, phytochemistry and medicinal uses of C. pauciflorus. Documented information on the pharmacological properties, phytochemistry and medicinal uses of C. pauciflorus was collected from several online sources, which included Scopus, Google Scholar, PubMed and Science Direct, and pre-electronic sources such as scientific publications, these, books, dissertations, book chapters and journal articles. This study showed that the leaves and epoxidised oil of C. pauciflorus are used as traditional medicines for external injury, wounds, diabetes, chest pains, eye infections, stomach problems and skin infections. Phytochemical compounds identified from the species include coumarins, essential oils, fatty acids, flavonol glycosides, phenolic acids, sterols, sesquiterpene lactones, triterpenoids, alkaloids, cardiac glycosides, carotenoids, flavonoids, polyuronoids, saponins, steroids, tannins and terpenoids. Pharmacological research revealed that C. pauciflorus extracts and compounds isolated from the species have analgesic, anti-dermatitis, antimicrobial, antiulcerogenic, hypoglycemic, insecticide, larvicidal and sedative activities. Centrapalus pauciflorus should be subjected to detailed phytochemical, pharmacological and toxicological evaluations aimed at correlating its medicinal uses with its phytochemistry and pharmacological activities.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".