Toward Personalized Sexual Medicine (Part 3): Testosterone Combined with a Serotonin1A Receptor Agonist Increases Sexual Satisfaction in Women with HSDD and FSAD, and Dysfunctional Activation of Sexual Inhibitory Mechanisms
Bibliographic record
Abstract
INTRODUCTION: Among other causes, low sexual desire in women may result from dysfunctional activation of sexual inhibition mechanisms during exposure to sex. Administration of sublingual 0.5 mg testosterone (T) increases the sensitivity of the brain to sexual cues, which might amplify sexual inhibitory mechanisms further in women already prone to sexual inhibition. Sexual stimulation might elicit a prefrontal cortex (PFC)-mediated phasic increase in sexual inhibition, in which activity of 5-hydroxytryptamine (5-HT, serotonin) is involved. A single dose of 5-HT receptor agonist (5-HT(1A)ra) might reduce the sexual stimulation induced PFC-mediated sexual inhibition during a short period after administration. Consequently, treatment with a single dose of T+5-HT(1A)ra might enhance sexual responsiveness, particularly in women exhibiting sexual inhibition. AIM: To investigate if treatment with a single dosage of T+5-HT(1A)ra will produce improvement in sexual functioning in women with Hypoactive Sexual Desire Disorder (HSDD) as the result of dysfunctional high sexual inhibition. METHODS: Fifty-four women were divided on the basis of their excitatory or inhibitory responses during T+phosphodiesterase type 5 inhibitor (PDE5i) in low (N = 26) and high inhibitors (N = 28). Physiological and subjective indices of sexual functioning were measured in a participant-controlled ambulatory psychophysiological experiment at home (the first week of each drug treatment). In a bedroom experiment (the subsequent 3 weeks), sexual functioning was evaluated by event, week, and monthly diaries. MAIN OUTCOME MEASURES: Subjective: sexual satisfaction, experienced genital arousal, sexual desire. Physiological: vaginal pulse amplitude. RESULTS: Women with high inhibition show a marked improvement in sexual function in response to treatment with T+5-HT ra relative to placebo and relative to T+PDE5i. CONCLUSIONS: The present study demonstrated that on-demand T+5-HT ra is a potentially promising treatment for women with HSDD, particularly for those women who are prone to sexual inhibition.
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 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 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".