Case Report of a Fatal Intoxication by Citalopram
Bibliographic record
Abstract
Citalopram is an antidepressant drug within the group of the selective serotonin reuptake inhibitors (SSRI). It is widely prescribed both in Europe and in United States, and it has always been considered a "safe" drug as pure intoxication with lethal outcome is rare, and most cases of overdose, even with high doses of citalopram ingested, are reported to have an uneventful course. We report the case of a young woman found dead at home. She had been prescribed citalopram by her family doctor 3 weeks before her death for a depressive syndrome. Police found in her house 3 empty blister packages of 28 citalopram tablets (20 mg) and 2 bottles of citalopram oral solution (4%, 15 mL each). The autopsy findings were unremarkable. Nasal swabs, blood from femoral vein, urine, bile and tissue samples were collected for toxicologic investigation. Citalopram separation was performed by solid/liquid method, using Bond-Elute columns. The extracts were analyzed by GLC and GC/MS methods. The toxicologic analysis showed high levels of citalopram in all the examined fluids and tissue samples (blood concentration: 11.60 mg/L). No other drugs and alcohol were detected. Our data confirm that if no other drug is involved, fatal complications occur only after ingestion of very high doses. However, there is no predefined "toxic dose," and the conditions under which the overdose occurs can be very important. We report the exact concentrations of the citalopram in the organs, and wethink that this can be useful in the cases where the blood samples were not available (ie, carbonized or decomposed body).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.011 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".