Chronicle of Datura Toxicity in the 18th and 19th Century
Bibliographic record
Abstract
Background: Datura stramonium is a poisonous and common flowering plant that is a member of the Solanacae family. Datura poisonings are a rare occurrence in the 21st century, making toxicological information on this plant sparse. Historical information on Datura provides useful information on the clinical symptoms and characteristics of poisonings. This review looks at the state of knowledge on Datura’s chemical properties and clinical characteristics in the 18th and 19th century. Methods: A literature review was conducted, and an online database search identified 197 articles. Ultimately 42 articles met the search criteria and were included for review. Results: Medical literature on Datura focused predominantly on clinical poisonings, medical treatments, and identifying its chemical properties. Clinical poisonings included cases of accidental and intentional poisonings, and provided information on the age of patients, their symptoms, and treatments. Datura was also used to treat a variety of conditions, including asthma, inflammatory diseases, epileptic seizures, and hallucinations. Chemical experimentation on Datura commonly looked at isolating alkaloids and assaying their concentrations in various plant organs. Conclusion: Historical literature on Datura shows that cases of poisoning were a common occurrence. These historical sources provide useful information on Datura poisoning’s clinical findings, and preliminary uses of Datura in medical treatments. Early chemical exploration of Datura also set the groundwork for future research.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".