Evidence map›Paper›PMID 38559544›Full record

ArticleCureus2024

Low-Dose Naltrexone for Excoriation Disorder.

Kevin Varghese, Xiaofeng Yan, Fei Cao

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.2field-weighted citation impact, top 10% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

3 authors at 2 institutions in 1 country.

Kevin VargheseSchool of Medicine, University of Missouri Kansas City, Kansas City, USA.
Xiaofeng YanPsychiatry, University of Missouri Kansas City, Kansas City, USA.
Fei CaoPain Management, University Health Truman Medical Center, Kansas City, USA.
University of Missouri–Kansas City · USTruman Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excoriation (skin-picking) disorder (ED) is a condition characterized by the repeated compulsion to pick at the skin, causing physical trauma and psychiatric distress. Patients often desire to cease skin-picking behavior but are unable to do so. Multiple treatment modalities are effective for ED, including naltrexone. Previous reports of naltrexone for ED were at a high dose of 50 mg. The efficacy of low-dose naltrexone (LDN) at 4.5 mg in managing ED has not been reported. We present a case of a 51-year-old female with ED who was evaluated in the pain clinic for fibromyalgia management. Her medications included gabapentin 600 mg PO TID and a history of opioid prescription for diffuse pain. She was started on naltrexone 4.5 mg PO QD for the management of fibromyalgia. Three months later, the patient reported improvement in her skin-picking disorder, with a lessened compulsion to itch at her skin and improved healing of existing lesions. When the naltrexone was temporarily interrupted for an elective procedure, her lesions worsened. Her lesions improved after she resumed the medication. Thereby, this patient experienced a therapeutic benefit from naltrexone for her skin-picking disorder, as demonstrated by the temporal changes in her symptoms. To our knowledge, this is the first reported case of ED improving with LDN, as other cases utilized 50 mg. Though few clinical trials or systematic reviews recommend the use of naltrexone for EDs, our case supports trialing LDN in the appropriate context.

Indexed as

dermatologyexcoriation disordernaltrexonepain managementskin-picking

Identifiers

PMID38559544
PMCPMC10981904
OpenAlexW4392359126

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.