How does this happen? Part I: mechanisms of adverse drug reactions associated with psychotropic medications.
Bibliographic record
Abstract
OBJECTIVE: To review the background and mechanisms behind how certain psychotropic medications cause adverse drug reactions. METHODS: A literature review pertaining to several interesting and unusual adverse drug reactions attributed to selected psychotropic medications was conducted. These include: 1) QTc interval prolongation secondary to ziprasidone, pimozide, and other antipsychotic agents. 2) Nephrogenic diabetes insipidus and hypernatremia secondary to lithium. 3) Hypothyroidism secondary to lithium. 4) Erectile dysfunction secondary to selective serotonin and serotonin/norepinephrine reuptake inhibitors (SSRIs/SNRIs). RESULTS: Biochemical mechanisms of how certain psychotropic medications cause adverse drug reactions were reviewed. Specific interventions and monitoring recommendations to prevent or reduce the impact of these adverse reactions are discussed briefly. CONCLUSION: Knowledge of risk factors and mechanisms of adverse drug reactions with psychotropic medications can help to guide medication prescribing, monitoring and interventions to prevent or mitigate these reactions.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".