Acute toxicity studies of Myrsine africana aqueous seed extract in male Wistar rats on some hematological and biochemical parameters
Bibliographic record
Abstract
Natural medicinal products have gained recognition worldwide in the treatment and control of diseases. One of the major concerns as they are used is the lack of adequate pharmacological and toxicological data to support their use. Myrsine africana is traditionally used as human and veterinary anthelmintic. Two groups of male Wistar rats were orally given as a single dose 1000 and 5000 mg/kg body weight of the M. africana extract respectively. Hematological and biochemical assays of each animal blood were done after 48 h and at day 14. No animal died in the entire study period. The median lethal dose (LD50) of the seed extract was estimated to be above 5000 mg/kg body weight in Wistar rats. Red blood cells, packed cell volume and creatinine in rats fed with 5000 mg/kg body weight were found to be significantly elevated from the control at 48 h. At day 14, thrombocytes and aspartate aminotransferase were significantly elevated in the high dose group while urea level had decreased significantly in the treatment groups. M. africana extract was found to have a high safe margin validating its wide use. However, caution should be exercised when using this extract as was indicated by the altered parameters. It is therefore recommended that lower doses than 1000 mg/kg body weight should be used for treatment.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".