Efficacy of Acupuncture Treatment of Sexual Dysfunction Secondary to Antidepressants
Bibliographic record
Abstract
BACKGROUND: Antidepressants including selective serotonin reuptake inhibitors (SSRIs) and serotonin noradrenaline reuptake inhibitors (SNRIs) are known to cause secondary sexual dysfunction with prevalence rates as high as 50%-90%. Emerging research is establishing that acupuncture may be an effective treatment modality for sexual dysfunction including impotence, loss of libido, and an inability to orgasm. OBJECTIVES: The purpose of this study was to examine the potential benefits of acupuncture in the management of sexual dysfunction secondary to SSRIs and SNRIs. SUBJECTS: Practitioners at the START Clinic referred participants experiencing adverse sexual events from their antidepressant medication for acupuncture treatment at the Mood and Anxiety Disorders, a tertiary care mood and anxiety disorder clinic in Toronto. DESIGN: Participants received a Traditional Chinese Medicine assessment and followed an acupuncture protocol for 12 consecutive weeks. The acupuncture points used were Kidney 3, Governing Vessel 4, Urinary Bladder 23, with Heart 7 and Pericardium 6. Participants also completed a questionnaire package on a weekly basis. OUTCOMES MEASURED: The questionnaire package consisted of self-report measures assessing symptoms of depression, anxiety, and various aspects of sexual function. RESULTS: Significant improvement among male participants was noted in all areas of sexual functioning, as well as in both anxiety and depressive symptoms. Female participants reported a significant improvement in libido and lubrication and a nonsignificant trend toward improvement in several other areas of function. CONCLUSIONS: This study suggests a potential role for acupuncture in the treatment of the sexual side-effects of SSRIs and SNRIs as well for a potential benefit of integrating medical and complementary and alternative practitioners.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.004 | 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".