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Record W4409810895 · doi:10.1093/jsxmed/qdaf068.142

(160) NON-GENITALLY STIMULATED ORGASMS (NGSOS) INCREASE PLASMA PROLACTIN IN A POST-MENOPAUSAL WOMAN

2025· article· en· W4409810895 on OpenAlexaboutno aff
James G. Pfaus, Ruşen Erez, Noam Erez, Jaroslav Novák

Bibliographic record

VenueThe Journal of Sexual Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsnot available
Fundersnot available
KeywordsProlactinInternal medicineEndocrinologyMedicineHormone

Abstract

fetched live from OpenAlex

Abstract Introduction Sexual orgasm is a complex, multimodal reflex induced typically by genital stimulation. Such stimulation activates excitatory neurochemical pathways in the brain and spinal cord that ultimately stimulate sympathetic outflow. In women, this can be achieved by stimulation of the external and internal clitoris, anterior cervix, nipples, and other erogenous zones in sensitized individuals. Although the reflex is a product of “bottom-up” genitosensory stimulation, it is also controlled by “top-down” processing of excitation and inhibition that controls both the timing of parasympathetic and sympathetic blood flow, and the subjective ability to “let go” into the orgasm when it is imminent. Indeed, orgasms activate cortical, limbic, hypothalamic, and brainstem structures, have characteristic pelvic floor muscle signatures and spinal cord activation that characterizes sexual “climax”, and can be rated subjectively in terms of the quality and type of sensory stimulation, affective experience, and the evaluation of pleasure. Orgasms are also accompanied by neurochemical and endocrine changes that characterize ecstatic pleasure, satiety, and refractoriness. Among these correlates is a consistent, orgasm-induced surge of prolactin released from the anterior pituitary into the peripheral bloodstream due to an immediate inhibition of dopamine. Orgasms can also be induced without genital stimulation. People experience orgasms during sleep or after exercise. Some women can have orgasms simply by engaging in imagery and fantasy. Paraplegic men and women also report “phantom” orgasms. This suggests that top-down control of orgasm can be activated on its own. Objective Women with Tantric experience can give themselves orgasms of different durations. In one report, these resulted in lawful increases in plasma prolactin. Here we examined prolactin and pelvic floor contractions in a surgically menopausal woman who has developed a systematic methodology to induce NGSOs by sensitized pelvic floor movements. Methods Blood was obtained before, immediately after, and 15 min after either a 2.5-min or 10-min NGSO, or a control condition (10 min Pilates workout). Plasma was assayed for prolactin, luteinizing hormone, follicle-stimulating hormone, and total testosterone. The woman also recorded her pelvic floor movements during a separate 10-min NGSO. Importantly, the woman was fully clothed during the NGSOs, and used only her pelvic floor movements without any tactile stimulation of the clitoral glans. Results Plasma prolactin increased to 109 and 141% of baseline immediately after the 2.5 min and 10 min NGSO. In contrast, the 10-min Pilates workout decreased plasma prolactin levels to 88% of baseline. Changes in LH, FSH, and total T were not significant. Characteristic pelvic floor contractions of orgasm came at approximately 20-sec intervals and were preceded by a sensitizing set of small contractions that built in intensity. Conclusions NGSOs induced by systematic and reproducible training of the pelvic floor represent a new vista in the study of women’s orgasms and a potential therapeutic intervention for women with orgasm difficulties. Disclosure Any of the authors act as a consultant, employee or shareholder of an industry for: Consultant: FirmTech Inc. (USA); Kanna Health Ltd. (UK); Ovoca Bio/IVIX Corp. (Ireland); Reunion Neuroscience (Canada); SmartBod/Lioness, Inc. (USA); Vella Bioscience (USA).

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.803
Threshold uncertainty score0.640

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.302
Teacher spread0.286 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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