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Record W1570955237 · doi:10.1177/070674370104600306

Who Develops Severe or Fatal Adverse Drug Reactions to Selective Serotonin Reuptake Inhibitors?

2001· article· en· W1570955237 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2001
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsMedicineDrug overdoseDrugReuptake inhibitorTricyclicVenlafaxineDiphenhydramineAdverse drug reactionSerotonin syndromeTrazodonePoison controlInternal medicinePsychiatryAntidepressantPharmacologyEmergency medicineSerotoninAnxietySerotonergic

Abstract

fetched live from OpenAlex

OBJECTIVE: To ascertain the risk factors associated with the development of severe and fatal adverse drug reactions (ADRs) or intentional overdoses by patients on selective serotonin reuptake inhibitors (SSRIs). METHODS: We undertook a data analysis of Health Canada's database of Adverse Drug Reactions to SSRIs from 1986 to 1996, as well as a literature review. RESULTS: Among the complete ADR reports in the SSRI database, there were no sex differences in occurrences of all ADRs (n = 1011), severe ADRs (n = 295), drug-drug interactions (n = 312), deaths (n = 87), or intentional overdoses (n = 79), when sex differences in prescription practices were considered. There were no differences in ADR rates among different SSRIs. The most common cause of death among patients taking SSRIs was intentional overdose (n = 65, 74.7%). This was reported in 47 (72.3%) women and 18 (27.7%) men. The most common drugs taken with SSRIs in patients who died of intentional overdoses were benzodiazepines, tricyclic antidepressants (TCAs), narcotics, alcohol, and diphenhydramine. Patients who had severe or fatal ADRs were more likely to be taking an SSRI with 2 or more other drugs, including alcohol. Drug combinations that included another CYP-450 drug were especially problematic. A total of 129 cardiovascular ADRs were reported, most of which were severe. These included rhythm disturbances, blood pressure perturbations, and chest pain or angina. Cardiovascular ADRs most often occurred with concomitant drug use of benzodiazepines, TCAs, histamine H2 antagonists, lithium, and calcium channel blockers. There were 3 deaths from malignant neuroleptic syndrome unassociated with intentional overdose. CONCLUSIONS: SSRIs are relatively safe when their widespread use is compared with the prevalence of ADRs. SSRIs may, however, be associated with ADRs, and even death, following intentional overdose or when taken with 2 or more other drugs or alcohol (particularly another drug metabolized by CYP-450). Physicians prescribing SSRIs need to consider drug-drug interactions and carefully monitor patients with severe affective disorders, comorbid medical conditions (especially cardiovascular disease), alcohol abuse, or a history of overdosing.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.268
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it