Sub-chronic and acute toxicity of aqueous extracts Salvia blancoana subsp. mesatlantica (Maire) Figuerola to rodents
Bibliographic record
Abstract
Salvia blancoana subsp. mesatlantica (Maire) Figuerola (SBm) is a plant endemic to Morocco and is one of the less studied species of Salvia. Herbal therapy is becoming more and more popular, especially in underdeveloped nations where access to medicinal herbs is affordable. However, some plants demonstrated toxic effects in animals and humans. Our study aimed to evaluate the SBm-extract for both acute and sub-chronic toxicity. Aqueous extracts were obtained from the aerial parts of SBm collected from Immouzer Kander commune (Middle Atlas, Morocco). Total Phenolic Content (TPC) and Flavones and flavonols Content (FFC), Antioxidant activity (2,2-diphenyl-1-picrylhydrazyl (DPPH) and reducing power) was determined, and chemical composition was determined by High-Performance Liquid Chromatography with Diode Array Detection (HPLC-DAD). Toxicity tests were conducted on mice and rats. In acute toxicity, Swiss albino mice (mass of 25–35 g) received SBm-extract orally and intraperitoneally at doses (0.5–11 g/kg, bm). The sub-chronic toxicity was tested in Wistar albino rats (mass of 200–240 g) for 90 days at doses of 0, 250, 500, or 1000 mg/kg, bm. Values of TPC and FFC were estimated to be 157.56 ± 0.32 mg GAE/g DW and 7.89 ± 0.05 mg QE/g DW, respectively. DPPH scavenging (IC 50 ) was estimated to be 26.9 ± 0.08 µg/mL while reducing power was 12.41 ± 0.03 µg/mL. No toxicity or deaths were observed in acute tests after oral exposure, while intraperitoneal administration resulted in dose-dependent acute toxicity, with an LD 50 value of 6.82 g/kg. In sub-chronic tests, most hematological and biochemical parameters remained unchanged, except for transient fluctuations in specific blood constituents and a transitory reduction in serum glucose levels observed at elevated dosages. Histopathological investigation revealed no organ abnormalities. The SBm-extract exhibited minimal toxicity, supporting its safe use. Despite the relevant results of this study, future studies need to confirm these findings and expand our understanding of the safety characteristics of Salvia . Further investigations are needed to explore the effects of other solvents on the extraction of bioactive compounds from the underground and aerial parts of this endemic species. Evaluation of other biological properties such as anti-microbial, anti-cancer, and anti-inflammatory activities are needed.
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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 | 0.000 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".