Acupuncture Evidence-Based Research
Evidence Base & Clinical Adoption
Acupuncture is one of the most widely used traditional and complementary medical modalities globally, with formal integration or regulation reported in the majority of WHO-member countries.
Acupuncture is among the most extensively studied complementary therapies, with over 40,000 indexed publications in PubMed.
U.S. federal health agencies recognize acupuncture as an evidence-based, non-pharmacologic option for pain management, including in the context of reducing opioid exposure.
Acupuncture has demonstrated cost-effectiveness for primary headache disorders.
The National Cancer Institute recognizes acupuncture as a supportive modality in cancer care for symptom management, including pain, nausea, and fatigue.
Included in National Clinical Guidelines
Acupuncture is incorporated as a recommended non-pharmacologic strategy in clinical guidelines issued by:
- The Joint Commission (2015)
- American Society of Clinical Oncology (2016)
- American College of Physicians for low back pain (2017)
- U.S. Department of Veterans Affairs (2017)
- U.S. Department of Health and Human Services for pain management (2019)
- Centers for Medicare & Medicaid Services coverage policies (2020 forward)
Selected Peer-Reviewed References
- Chan et al., Scientific Reports, 2017. Safety of acupuncture: overview of systematic reviews.
- Nielsen et al., Pain Medicine, 2022. Evidence-based nonpharmacologic strategy for acute pain care.
- Qaseem et al., Annals of Internal Medicine, 2017. ACP clinical practice guideline for low back pain.
- Van Hal et al., StatPearls, 2023. Acupuncture overview.
- WHO Global Report on Traditional and Complementary Medicine, 2019.
- Witt et al., Cephalalgia, 2008. Cost-effectiveness for headaches.
- Zeliadt et al., Medical Care, 2020. Outcomes in 11,406 U.S. veterans.
Katherine Echo Kim, D.Ac., L.Ac.
Founder, AcuTecture
Doctor of Acupuncture
Nationally Board Certified (NCCAOM)
Lic. Acupuncturist in CT/NY
Integrative Medicine SME
Certified Feng Shui Consultant
Member, AI Taskforce (NCCAOM)
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