Evidence map›Paper›PMID 38155959›Full record

ArticleAddiction neuroscience2023

Estradiol and Mu opioid-mediated reward: The role of estrogen receptors in opioid use.

Sarah B Ethridge, Mark A Smith

Open access · goldAbstract read
In one paragraph

Article in Addiction neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 15 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Sarah B EthridgeDepartment of Psychology, Program in Neuroscience, Davidson College, Davidson, NC, USA.
Mark A SmithDepartment of Psychology, Program in Neuroscience, Davidson College, Davidson, NC, USA.
Davidson College · US

Funding

Social Influences on Drug-Seeking BehaviorR01DA031725 · NIDA · DAVIDSON COLLEGE · PI SMITH, MARK A · 2012 to 2022
$3.1M
The Influence of Gonadal Hormones on Opioid UseR01DA045364 · NIDA · DAVIDSON COLLEGE · PI SMITH, MARK A · 2018 to 2022
$1.6M
NIDA NIH HHS R01 DA031725NIDA NIH HHS R01 DA045364
6 · The paper itself

Abstract

Opioid use and opioid use disorder are characterized by sex and gender differences, and some of these differences may be mediated by differences in the hormonal milieu within and across individuals. This review focuses on the role of ovarian hormones, and particularly estradiol, on the endogenous mu opioid receptor system. There is an abundance of data indicating that estradiol influences the activity of endogenous mu opioid peptides, the activation of mu opioid receptors, and the internalization and desensitization of mu opioid receptors. These effects have functional consequences on behaviors mediated by endogenous mu opioid receptor activity and on sensitivity to mu opioid agonists and antagonists. Recent behavioral data suggest these consequences extend to mu opioid reward, and preclinical studies report that estradiol decreases self-administration of mu opioid receptor agonists across a range of experimental conditions. Data collected in human laboratory studies suggest that estradiol may have functionally similar effects in clinical populations, and thus estrogen receptors may be a potential target in the development of novel therapeutics. This review summarizes data from cellular assays to clinical trials to explore how estradiol influences mu opioid receptor activity, as well as potential ways in which estrogen receptors may be targeted to address the problems of opioid use.

Indexed as

AddictionEstrogenFemaleProgesteroneSex differences

Identifiers

PMID38155959
PMCPMC10753849
OpenAlexW4389003578

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.