Persistent Genital Arousal Disorder: A Case Report in a Woman with Lifelong PGAD Where Serendipitous Administration of Varenicline Tartrate Resulted in Symptomatic Improvement
Bibliographic record
Abstract
INTRODUCTION: Persistent genital arousal disorder (PGAD) in women is associated with feelings of persistent, spontaneous, intrusive, unrelenting, and unwanted physical arousal in the absence of conscious thoughts of sexual desire or sexual interest. AIM: To report the case of a 49-year-old woman with lifelong PGAD who was recently prescribed varenicline for smoking cessation and who subsequently experienced amelioration of PGAD symptoms. METHODS: Patient self-report and literature review. Written consent was obtained from the patient. RESULTS: Abatement of lifelong PGAD symptoms occurred within approximately two weeks each time varenicline treatment was initiated. PGAD symptoms returned in approximately 2 weeks each time treatment was suspended. CONCLUSIONS: Varenicline is a partial agonist of the alpha2beta4 subtype of nicotinic cholinergic receptor. Its unique pharmacological action stimulates a small amount of brain dopamine release while antagonizing the ability of nicotine to stimulate much larger dopamine release. Genital sexual arousal is controlled in part by the action of hypothalamic and limbic dopamine systems. Based on the mechanism of action of varenicline and the observation of its effectiveness in this case, we hypothesize that: (i) central hyperactive dopamine release is an important component in the pathophysiology of PGAD in this patient; and (ii) use of varenicline resulted in lowering of this hyperstimulated central dopamine release. Objective testing of varenicline's safety and efficacy in the treatment of other women with PGAD is suggested.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".