Evidence map›Paper›PMID 41399763›Full record

ArticleJournal of pain research2025

Real-World Effectiveness and Tolerability of Low Dose Naltrexone to Treat Chronic Pain: A Retrospective Cohort Study of One Pain Physician's Practice.

Hannah Aalto, Sara Paul, Virginia McEwen

Abstract read
In one paragraph

Article in Journal of pain research, 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. Review
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.

Hannah AaltoDepartment of Undergraduate Medical Education, Northern Ontario School of Medicine (NOSM) University, Thunder Bay, Ontario, Canada.ORCID 0009-0000-1773-288X
Sara PaulDepartment of Undergraduate Medical Education, Northern Ontario School of Medicine (NOSM) University, Thunder Bay, Ontario, Canada.
Virginia McEwenChronic Pain Management Program, St. Joseph's Care Group, Thunder Bay, ON, Canada.ORCID 0000-0002-0845-749X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Low-dose naltrexone (LDN) is an off-label treatment for chronic pain, with evidence supporting its use mainly consisting of small-scale studies. This retrospective cohort review aimed to contribute to this growing body of literature and evaluate the real-world effectiveness of LDN across a range of chronic pain conditions in a single physician's practice. Patients and Methods: A total of 128 patients prescribed LDN between September 2021 and June 2024 were reviewed independently by two investigators, with 93 meeting inclusion criteria. Patients were categorized into 12 groups based on diagnosis, with fibromyalgia representing the largest subgroup (27 patients). Retrospective cohort data was collected and included patient demographics, adverse effects, dosage, duration of therapy, and reported symptom relief. Descriptive statistics were used to analyze findings. Results: Subjective symptom relief was reported by 53.8% of patients, most commonly improvements in pain (49 patients) and fatigue (25 patients), when taking LDN. The highest response rates were seen in patients with mast cell activation syndromes and arthritis-related conditions (71.4%). Adverse effects occurred in 49.5% of patients, most frequently nausea and fatigue. No serious adverse effects were reported. Conclusion: These findings suggest that LDN may be an effective and well-tolerated treatment option for a range of chronic pain conditions. Further studies, such as randomized controlled trials, are warranted to confirm these results and optimize dosing strategies.

Indexed as

chronic painLDNlow dose naltrexonepain

Identifiers

PMID41399763
PMCPMC12702260

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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.