Systematic Review: Cannabis for Gynecologic Pain Shows Promise but Lacks Standardization
Most women using cannabis for gynecologic pain reported relief in surveys, and clinical studies of PEA-combination medications showed significant pain reduction, but varying formulations prevent definitive conclusions.
Quick Facts
What This Study Found
Among 16 included studies, 13-27% of women used cannabis for gynecologic pain. Survey data showed 61-95.5% reported pain relief. Six prospective cohort studies and one RCT of PEA-combination medications reported significant pain relief, with an average decrease of 3.35 points on a 10-point scale after 3 months.
Key Numbers
5,189 articles screened; 16 met criteria; 13-27% cannabis use prevalence; 61-95.5% reported relief; 3.35-point average pain reduction on 10-point scale
How They Did This
Systematic review searching PubMed, EMBASE, Scopus, Cochrane, and ClinicalTrials.gov for studies of cannabinoids in nonpregnant adult women with gynecologic pain conditions (chronic pelvic pain, vulvodynia, endometriosis, interstitial cystitis, malignancy).
Why This Research Matters
Gynecologic pain conditions like endometriosis and chronic pelvic pain are common, often undertreated, and significantly impact quality of life. Cannabis-based treatments represent a potential alternative or complement to current options.
The Bigger Picture
The endocannabinoid system is concentrated in reproductive tissues, providing biological plausibility for cannabis-based treatments. But the field remains hampered by inconsistent formulations and dosing.
What This Study Doesn't Tell Us
Heterogeneous studies with varying cannabis formulations, delivery methods, and dosages. Most evidence comes from surveys rather than controlled trials.
Questions This Raises
- ?Which specific formulations (THC vs CBD vs PEA) work best for which gynecologic conditions?
- ?Would standardized dosing protocols produce more consistent results across studies?
Trust & Context
- Key Stat:
- 3.35-point pain reduction on 10-point scale
- Evidence Grade:
- Systematic review of 16 studies, but most evidence comes from surveys and uncontrolled cohorts rather than RCTs.
- Study Age:
- Published in 2022
- Original Title:
- Medical Cannabis for Gynecologic Pain Conditions: A Systematic Review.
- Published In:
- Obstetrics and gynecology, 139(2), 287-296 (2022)
- Authors:
- Liang, Angela L, Gingher, Erin L, Coleman, Jenell S
- Database ID:
- RTHC-04005
Evidence Hierarchy
Analyzes all available research on a topic using a structured method.
What do these levels mean? →Frequently Asked Questions
Does cannabis help with endometriosis or pelvic pain?
Survey data from this review showed 61-95.5% of women reported pain relief, and clinical studies of PEA-combination medications found significant improvement. But varying formulations prevent definitive conclusions.
What cannabis doses were studied for gynecologic pain?
Studies used THC doses up to 70 mg and CBD doses up to 2,000 mg, with most women ingesting or inhaling cannabis multiple times per week.
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Cite This Study
https://rethinkthc.com/research/RTHC-04005APA
Liang, Angela L; Gingher, Erin L; Coleman, Jenell S. (2022). Medical Cannabis for Gynecologic Pain Conditions: A Systematic Review.. Obstetrics and gynecology, 139(2), 287-296. https://doi.org/10.1097/AOG.0000000000004656
MLA
Liang, Angela L, et al. "Medical Cannabis for Gynecologic Pain Conditions: A Systematic Review.." Obstetrics and gynecology, 2022. https://doi.org/10.1097/AOG.0000000000004656
RethinkTHC
RethinkTHC Research Database. "Medical Cannabis for Gynecologic Pain Conditions: A Systemat..." RTHC-04005. Retrieved from https://rethinkthc.com/research/liang-2022-medical-cannabis-for-gynecologic
Access the Original Study
Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.
This study breakdown was produced by the RethinkTHC research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.