Phytochemical composition, Antinociceptive and anti-inflammatory activities of ethanolic and aqueous stem bark extracts of Pavetta owariensis P. Beauv
Bibliographic record
Abstract
In Africa, Pavetta owariensis P. Beauv. (Rubiaceae) is found in Ivory Coast, Guinea, Sierra Leone, Nigeria, Cameroon and Ghana. The roots, leaves, stem bark and twigs are used by traditional healers to treat various diseases. For example, the stem bark is used in children's baths to protect them from skin and scalp infections. First, it was a question of determining chemical constituents present in stem bark of the medicinal plant. The phytochemical study revealed the presence of sterols and polyterpenes, polyphenols, flavonoids, catechic tannins, gallic tannins, alkaloids, free quinones, saponins, anthraquinones terpenoids and anthocyanins in aqueous and ethanolic stem bark extracts of Pavetta owariensis. On the one hand, studies carried out on the stem bark of Pavetta owariensis have shown that the aqueous and ethanolic extracts are analgesics which suppress sensitivity to pain in the same way as paracetamol (Doliprane®). On the other hand, the extracts have also shown anti-inflammatory potential like meloxicam (Mobic®) but in high doses.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".