Cited by 133Treatment of Major DepressionElectroconvulsive Therapy StudiesNeuroscience and Neuropharmacology Research

Ketamine and Beyond: Investigations into the Potential of Glutamatergic Agents to Treat Depression

Open access
Lener, Marc S., Kadriu, Bashkim, Zarate, Carlos A.·2017·Drugs

Abstract

Clinical and preclinical studies suggest that dysfunction of the glutamatergic system is implicated in mood disorders such as major depressive disorder and bipolar depression. In clinical studies of individuals with major depressive disorder and bipolar depression, rapid reductions in depressive symptoms have been observed in response to subanesthetic-dose ketamine, an agent whose mechanism of action involves the modulation of glutamatergic signaling. The findings from these studies have prompted the repurposing and/or development of other glutamatergic modulators for antidepressant efficacy, both as monotherapy or as an adjunct to conventional monoaminergic antidepressants. This review highlights the evidence supporting the antidepressant effects of subanesthetic-dose ketamine as well as other glutamatergic modulators, such as D-cycloserine, riluzole, CP-101,606, CERC-301 (previously known as MK-0657), basimglurant, JNJ-40411813, dextromethorphan, nitrous oxide, GLYX-13, and esketamine.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s40265-017-0702-8

Cites

130 of 130 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

1 retracted

Flagged first, then by citations

1 of the 131 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Lener, M. S., Kadriu, B., & Zarate, C. A.
Affiliations
National Institutes of Health (US)
Corresponding author
Lener, Marc S.
Venue
Drugs
Published
2017-02-14
Volume
77
Issue
4
Pages
381-401
ISSN
  • 0012-6667 (ISSN-L)
  • 1179-1950
OpenAlex
W2588408561
Cited by
131
References
131
Citations by year
2026: 2 · 2025: 10 · 2024: 11 · 2023: 16 · 2022: 18 · 2021: 17 · 2020: 19 · 2019: 14 · 2018: 15 · 2017: 9
FWCI
2.01
Type
journal article
Language
en
Open access
Locations
  • Drugs (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, public-domain)
Funders
National Institute of Mental Health (ZIA-MH002857-10)
Topics
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
  • Health Sciences › Medicine › Psychiatry and Mental health › Electroconvulsive Therapy Studies
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
ketamine, depression, major depressive disorder, bipolar depression, antidepressant repurposing, subanesthetic ketamine, D-cycloserine, riluzole, CP-101,606, dextromethorphan, nitrous oxide, esketamine, glutamatergic signaling
MeSH terms
Depression, Humans, Ketamine, Excitatory Amino Acid Agents

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review