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Record W4415024187 · doi:10.1186/s12888-025-07450-7

Psychotropic-associated delusional pseudo-gender dysphoria: a case report

2025· article· en· W4415024187 on OpenAlexaff
Karim Abdel Aziz, Abeer Saleh Al Ammari, Farah Jamal Al Naqbi, Mariam MohamedObadah Adi, Fatima Saleh Aljaberi, Zakaria Husam Ouda, Émmanuel Stip

Bibliographic record

VenueBMC Psychiatry · 2025
Typearticle
Languageen
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsUniversité de MontréalInstitut Universitaire en Santé Mentale de Québec
Fundersnot available
KeywordsDelusionDelusional disorderDepression (economics)PsychosisSchizophrenia (object-oriented programming)

Abstract

fetched live from OpenAlex

BACKGROUND: Gender dysphoric delusions are reported in about 20-25% of patients with schizophrenia. There have been no previous cases of psychotropics contributing to the occurrence of gender dysphoric delusions or cases where two different types of gender dysphoric delusions occur in the same patient at different times. CASE PRESENTATION: We report on a 30-year-old female with bipolar disorder who after being maintained on sodium valproate and once-monthly paliperidone, experienced side effects in the form of hirsutism (facial hair) and amenorrhea. After discontinuing them, she started reporting that her lower half was female and her upper half was male, then began to identify as "a man trapped in a woman's body" and expressed a desire to undergo gender affirming surgery. Treatment with a clozapine resulted in her identifying once again as 100% female. CONCLUSIONS: This is the first case to report on the contribution of psychotropics in the development of gender dysphoric delusions and is also the first to report on two different types of gender dysphoric delusions occurring in the same patient at different times, with initial delusions of simultaneously belonging to both genders and then delusions of belonging to the opposite gender only.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.532
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 integrity0.0000.000
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 head0.027
GPT teacher head0.335
Teacher spread0.308 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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