Belladonna Alkaloid Intoxication
Bibliographic record
Abstract
The belladonna alkaloids can be isolated from a number of plants, which contain hallucinogens that represent a serious danger to infants, children, and adolescents. Roots, leaves, and fruits of the plant contain the alkaloids atropine, hyoscyamine, and scopolamine, which can lead to an anticholinergic toxidrome; however, not all characteristics of the toxidrome are necessarily present in each case of poisoning. A retrospective chart review of all children seen following anticholinergic ingestions, between April 2001 and November 2010, at the Hospital for Sick Children in Toronto. Ten children, with a mean age of 15.5 years (range, 15-18 years), were identified; 5 had used jimsonweed and the others had a variety of tablets containing atropine. All 10 presented with severe anticholinergic symptoms and 2 with suicide attempts. Treatments included charcoal, benzodiazepines, haloperidol, and physostigmine, and 2 patients were intubated. Ingestion and subsequent severe anticholinergic toxidrome occurred exclusively in adolescents. It is important to educate this age group regarding the toxicity and potential risks associated with the recreational use of these plants and substances. Physostigmine can help in both the diagnosis and management of patients intoxicated with these substances.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".