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Record W2597137585 · doi:10.1177/0091217417696733

Functional foods: How functional are they? A case report of supplement-induced psychosis

2016· article· en· W2597137585 on OpenAlexaff
Priyanka Yadav, Kyle Stigall, Abner O. Rayapati, Nitin Chopra

Bibliographic record

VenueThe International Journal of Psychiatry in Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsMedicineTraditional medicinePopulationHerbPsychiatryMedicinal herbsEnvironmental health

Abstract

fetched live from OpenAlex

There is rising evidence of patients' use of alternative and complementary medicine. The percentage of the U.S. population who used at least one dietary supplement increased from 42% in 1988-1994 to 53% in 2003-2006. We present a case of an Asian female in her 40s, with no previous psychiatric illness, who presented to the emergency room following a brief psychotic episode, during which she self-amputated the tips of her fingers, after using multivitamins and herbal supplements including ginseng, gui yuan rou (Chinese herb), astaxanthin, goji (Chinese fruit), selenium, saw palmetto, grape seed extract, citrus bioflavanoid, lutein (zeaxantin), resvexatrol, sun chlorella, spirulina powder, phytoceramides, phytoestrogen, glucosatrin, bromelain plus, and American bee pollen. Comprehensive laboratory workup, drug screening, and diagnostic imaging were negative. Vital signs were stable. Other than the amputated finger tips, the remainder of her physical examination was unremarkable. Her mental status improved significantly after treatment with risperidone 1 mg twice daily, during a five-day psychiatric hospitalization. This case draws attention to the fact that supplements have the potential of producing frank psychosis and require close monitoring and study by physicians.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.071
GPT teacher head0.356
Teacher spread0.284 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2016
Admission routes1
Has abstractyes

Explore more

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