Evidence map›Paper›PMID 40308724›Full record

ArticleMedical acupuncture2025

Research Supports the Integration of Acupuncture in Mainstream Health Care for the Management of Chronic Diseases.

James E Williams, Yun Kim, Jacques Moramarco

Abstract read
In one paragraph

Article in Medical acupuncture, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

James E WilliamsEmperor's College, Culver City, CA, USA.
Yun KimEmperor's College, Culver City, CA, USA.
Jacques MoramarcoEmperor's College, Culver City, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To address the role of acupuncture in mainstream health care for symptom relief, condition outcome, pain management, and shared therapy in resolving chronic diseases. This article explores how acupuncture education can adapt to meet the standards required for inclusion in conventional health care. Objectives: To discuss the future of acupuncture education and its part in training providers for inclusion in a comprehensive health care system that involves physician acupuncturists and licensed acupuncturists for treating and managing specific chronic diseases. To strategize the future of acupuncture education at an advanced clinical level that fosters incorporating acupuncture therapy into selected allopathic settings. To encourage the recognition of translational research for promoting the acceptance of acupuncture by providers and insurers. Conclusion: Translational research employs clinical evidence to support acupuncture therapy when incorporated into selected areas of allopathic practices, including pain management, palliative care for patients with end-stage cancer, sleep disorders, anxiety disorders, post-traumatic stress, female hormonal conditions such as premenstrual syndrome and menopausal syndrome, as well as chronic fatigue syndromes including Myalgic encephalomyeltitis/chronic fatigue syndrome (ME/CFS) and Long COVID. Advanced clinical training in acupuncture schools and postgraduate certification courses are required to prepare acupuncturists to safely and effectively provide the specialized integrative acupuncture services needed in these clinical areas.

Indexed as

acupunctureacupuncture-physician (AP)acupuncturistbiopuncturedoctor of acupuncture and herbal medicine (DAHM)doctor of oriental medicine (DOM/OMD)integrative therapiesmedical acupuncturemedical doctor (MD)osteopathic doctor (DO)translational research

Identifiers

PMID40308724
PMCPMC12038303

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.