Homicidal ideation with intent during a manic episode triggered by antidepressant medication in a man with brain injury
Bibliographic record
Abstract
BACKGROUND: Mood disorders are more frequent after brain injury and both depressive and manic episodes are associated in these patients with an increased risk of aggression. Antidepressant medications are associated with a risk of manic induction. CASE REPORT: We describe a case of homicidal ideation with intent during the onset of a manic episode in a patient with prior brain injury on antidepressant medication at low dosage. The manic episode could have been secondary to brain injury and/or triggered by antidepressant medications. This case raises the possibility of the sensitizing role of brain injury for antidepressant-induced mania. CONCLUSIONS: Further studies are needed to assess the role of brain injury as a risk factor for antidepressant-induced mania. Physicians should be cautious when prescribing antidepressants to patients with prior brain injury and inform them and their relatives of the possibility of a switch into mania.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".