Evidence map›Paper›PMID 41085217›Full record

ArticlePhysiological reports2025

Autonomic effects of electroacupuncture in opioid-induced constipation in male rats.

Misaki Okada, Kazunori Itoh, Hiroshi Kitakoji, Kenji Imai

Abstract read
In one paragraph

Article in Physiological reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

4 authors.

Misaki OkadaDepartment of Acupuncture and Moxibustion, Meiji University of Integrative Medicine, Kyoto, Japan.ORCID 0000-0002-4681-8524
Kazunori ItohDepartment of Acupuncture and Moxibustion, Meiji University of Integrative Medicine, Kyoto, Japan.
Hiroshi KitakojiDepartment of Acupuncture, Takarazuka University of Medical and Health Care, Takarazuka, Japan.
Kenji ImaiDepartment of Acupuncture and Moxibustion, Faculty of Health Science, Teikyo Heisei University, Toshimaku, Japan.

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 20K16562
6 · The paper itself

Abstract

The efficacy of electroacupuncture (EA) for opioid-induced constipation (OIC) has been reported; however, the mechanism has not been sufficiently studied, and the details have not been clarified. The aims of this study were to demonstrate the delay in rat colonic transit (CT) caused by loperamide, a peripheral μ-opioid receptor agonist, and to evaluate the effect of EA at ST-36 on the autonomic nervous system. To measure CT, the operation had been demonstrated for setting the cannula into the cecum to connect the proximal colon. On the fifth day after surgery, 20 metal radiopaque markers were administered to the proximal colon and visible throughout the gastrointestinal tract via soft X-ray immediately after the administration of markers up to 240 min. The OIC model was induced in rats by subcutaneous injection of loperamide twice a day for 3 days, and EA at ST-36 was performed before measurement. The delay in CT caused by loperamide was significantly improved with EA, which was abolished by atropine. CT delay was significantly accelerated by α-adrenoceptor antagonists and acetylcholinesterase inhibitors. This study showed that EA has the potential to be effective for OIC, and that the autonomic nervous system is involved in its mechanism.

Indexed as

Autonomic Nervous SystemConstipationElectroacupunctureOpioid-Induced ConstipationAdrenergic alpha-AntagonistsAnalgesics, OpioidAnimalsColonGastrointestinal TransitLoperamideMaleRatsRats, Sprague-DawleyAdrenergic alpha-AntagonistsAnalgesics, OpioidLoperamideautonomic nervous systemcolonic transitelectroacupunctureloperamideopioid‐induced constipation

Identifiers

PMID41085217
PMCPMC12519498

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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.