Evaluation of the hepatotoxicity of the anti-diabetic drug Diarid: An ayurvedic formulation in white swiss albino mice
Bibliographic record
Abstract
Diarid is an Ayurvedic antidiabetic drug. Questions and concerns are being raised nowadays on such Ayurveda formulations with their composition for safety aspects. Though, these are being used safely in without any noticeable untoward effects; there is a need to generate scientific evidence that these are safe and non-toxic. The drugs can usually be detoxified, but some of them can be bio activated become more toxic. The liver often the target organ, most toxicants enter the body through the gastrointestinal tract and after absorption they are carried by the hepatic portal vein in the liver. The toxicology of the liver is complicated by the variety of liver injuries and by the different mechanisms through which the injuries are induced. In the present study, the safety profile of Diarid is tested for acute toxicity, Diarid was administered at a maximal dose of 600 mg/kg to overnight fasted rats and observed closely for behavioural changes, signs of toxicity and mortality if any, continuously for the first six hours and thereafter periodically up to 45 days. Animals were sacrificed on the 46th day. Biochemical parameters and were studied in both serum and liver tissue. In acute toxicity, Diarid at the dose of 600 mg/kg did not produce any observable toxic effects or mortality. No pathological changes on different biochemical parameters in serum and liver homogenate. Based on these observations, it can be concluded that Diarid is safe at therapeutic dose levels.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".