<i>Datura stramonium</i> abrogates depression- and anxiety-like disorders in mice: possible involvement of monoaminergic pathways in its antidepressant activity
Bibliographic record
Abstract
Abstract Objectives Ethno-botanical surveys uncovered the use of Datura stramonium in the management of mental health abnormalities. Antidepressant- and anxiolytic-like activities of hydroethanol leaf extract of D. stramonium (HLDS) in mice and its possible mechanism of action were investigated in this study. Methods The hole-board test (HBT), open field test (OFT), elevated plus maze test (EPMT), and social interaction test (SIT) were used to investigate the anxiolytic-like activity while forced swim test (FST) and tail suspension test (TST) were employed for the antidepressant effect. Mice were pre-treated orally with purified water (10 mL/kg), bromazepam (1 mg/kg), fluoxetine (20 mg/kg) and D. stramonium (25, 50, 100 and 200 mg/kg). One hour post-treatment, mice were subjected to the various tests. Results In HBT, D. stramonium increased the head dips and sectional crossings turnover. D. stramonium increased the number of square crossed and rearings/assisted rearings in OFT. DS increased the time spent in open arms of EPM. In SIT, D. stramonium increased the frequency/duration of interactions. In FST and TST, D. stramonium decreased the duration of immobility which were reversed by doxazosin (α 1 adrenoceptor antagonist) and ondasentron (5-HT 3 receptor antagonist). Conclusions HLDS has anxiolytic- and antidepressant-like activities through modulation of serotoninergic and adrenergic neurotransmissions.
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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 | 0.000 | 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) | 0.002 | 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".