Evidence map›Paper›PMID 41072817›Full record

ReviewBiochemical pharmacology2025

Antidepressants and the endogenous opioid system.

Lloyd D Fricker, Aya Osman, Achla Gupta, Ivone Gomes, Lakshmi A Devi

Abstract readReview
In one paragraph

Review in Biochemical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Is the antidepressant efficacy of ketamine and esketamine mediated via opioid mechanisms?European psychiatry : the journal of the Association of European Psychiatrists · 2026
    Pooled it
  2. Trial
  3. 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

5 authors.

Lloyd D FrickerDepartment of Molecular Pharmacology, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, NY 10461, USA; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA.
Aya OsmanDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA; Department of Biology, State University of New York at Albany, 1400 Washington Ave, Albany, NY 12222, USA. Electronic address: aosman@albany.edu.
Achla GuptaDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA.
Ivone GomesDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA.
Lakshmi A DeviDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA. Electronic address: Lakshmi.devi@mssm.edu.

Funding

Regulation Of Opioid Receptor Signaling by Endogenous PeptidesR01DA008863 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Lakshmi A Devi, Elyssa Margolis · 1995 to 2026
$6.1M
Post-translational Regulation of Opioid and Cannabinoid Receptors.R37DA008863 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DEVI, LAKSHMI A · 2012 to 2021
$4.6M
Enhancement of the endogenous opioid system by ketamineR01DA058681 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Lakshmi A Devi, LLOYD D FRICKER · 2023 to 2026
$2.3M
NIDA NIH HHS R01 DA008863NIDA NIH HHS R01 DA058681NIDA NIH HHS R37 DA008863
6 · The paper itself

Abstract

The endogenous opioid system consists of three different G protein-coupled receptors, named mu-, delta- and kappa-opioid receptors (MOR, DOR, and KOR, respectively). These receptors are activated by over 20 distinct peptides produced from proenkephalin, prodynorphin, and proopiomelanocortin. The endogenous opioid system contributes to many important functions including analgesia, reward, and regulation of mood. A growing body of evidence links the opioid system with major depressive disorder. One strong line of evidence is that two different widely used antidepressants, tianeptine and ketamine, both interact with MOR; tianeptine as a full agonist, and ketamine as a positive allosteric modulator. Both of these drugs produce clinical antidepressant effects within hours or days. Buprenorphine, a partial MOR agonist commonly used for treating opioid use disorder, also shows promise as a rapid-acting antidepressant. While the conventional view is that major depressive disorder is caused by an imbalance of biogenic amine neurotransmitters, drugs that affect these neurotransmitter systems typically require weeks of dosing before showing antidepressant effects. Chronic antidepressant treatment of mice causes changes in gene expression. Interestingly, proenkephalin is one of the most highly upregulated genes following long-term treatment of mice with fluoxetine, a selective serotonin reuptake inhibitor. Taken together, these findings suggest that the opioid system plays an important role in major depressive disorder. In this review, we discuss the strengths, problems, and limitations of the studies, as well as areas in need of further investigation.

Indexed as

Analgesics, OpioidAntidepressive AgentsOpioid PeptidesReceptors, OpioidAnimalsHumansMajor Depressive DisorderAnalgesics, OpioidAntidepressive AgentsOpioid PeptidesReceptors, OpioidEndorphinFluoxetineKetamineMajor depressive disorderOpioid receptorProenkephalinTianeptine

Identifiers

PMID41072817
PMCPMC12571423

What OpenQuestion holds

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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.