Baccharoides lasiopus: Review of its Medicinal uses, Phytochemistry and Pharmacological Properties
Bibliographic record
Abstract
Baccharoides lasiopus is a woody shrub widely used as traditional medicine throughout its distributional range in tropical Africa. This study is aimed at providing a critical review of the pharmacological properties, phytochemistry, and medicinal uses of B. lasiopus. Documented information on the pharmacological properties, phytochemistry, and medicinal uses of B. lasiopus was collected from several online sources, which included Scopus, Google Scholar, PubMed and Science, and pre-electronic sources such as book chapters, books, journal articles and scientific publications obtained from the university library. The articles published between 1971 and 2020 were used in this study. This study showed that the leaves, roots, stems, whole plant parts, root and stem bark of B. lasiopus are widely used as galactagogue, purgative and anthelmintic, and traditional medicine for headache, liver diseases, skin diseases, respiratory infections, malaria, augment labour, convulsions, epilepsy, fainting, female reproductive problems, and gastro-intestinal problems. Phytochemical compounds identified from the species include elemanolide type sesquiterpene lactones, alkaloids, anthraquinones, cardiac glycosides, coumarins, flavonoids, phenolics, reducing sugars, saponins, steroids, tannins, terpenoids, and xanthines. Pharmacological research revealed that B. lasiopus extracts and compounds isolated from the species have anthelmintic, antibacterial, antifungal, antiviral, antihyperglycemic, antiplasmodial, antimalarial, antiprotozoal, haematological, hepatoprotective, hepatotoxicity, larvicidal, and cytotoxicity activities. Future research on B. lasiopus should focus on the possible biochemical mechanisms of action of both the crude extracts and identified phytochemical compounds including toxicological, in vivo, and clinical studies to corroborate the traditional medical applications of the species.
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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 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".