Cocaine Abuse, Traumatic Brain Injury, and Preexisting Brain Lesions as Risk Factors for Bupropion-Associated Psychosis
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Bupropion is generally considered safe and is widely used both as a monotherapy and as an augmentation agent for the treatment of major depression. Concerns have been raised about bupropion's propensity to precipitate new psychosis and worsen existing psychotic symptoms, although the mechanism is poorly understood. Three cases are reported in which bupropion use was associated with psychosis. The aim of the study was to explore the risk factors and possible mechanisms of psychosis in each case. CASE REPORTS: Case 1 describes the interaction of cocaine abuse sensitization in a patient who developed psychosis with a lower dosage of bupropion. Cases 2 and 3 discuss the role of traumatic brain injury and structural brain lesions in increasing the risk of psychosis when using bupropion. CONCLUSIONS: Cocaine abuse, traumatic brain injury, and preexisting brain lesions appear to be risk factors for developing psychosis in persons taking bupropion. In such cases, clinicians should carefully assess the risks and benefits and closely monitor patients for symptoms of psychosis.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".