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Metabotropic glutamate receptor agonists for schizophrenia

Name: Metabotropic glutamate receptor agonists for schizophrenia
Creator: Harrison, P
Keywords: Benzodiazepines, 03 medical and health sciences, 0302 clinical medicine, Olanzapine, Schizophrenia, Humans, Receptors, Metabotropic Glutamate, Antipsychotic Agents, 3. Good health

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Feb 2008 United Kingdom Publisher:Royal College of PsychiatristsJournal:British Journal of Psychiatry, volume 192, pages 86-87 (issn: 0007-1250, eissn: 1472-1465,

Authors: Harrison, P;

doi: 10.1192/bjp.bp.107.045088

pmid: 18245019

Metabotropic glutamate receptor agonists for schizophrenia

- Summary
- Subjects
- Metrics

Abstract

SummaryA drug acting at metabotropic glutamate receptors has recently been reported to be an effective antipsychotic, breaking the rule that only dopamine receptor-blocking drugs have this property. The finding complements accumulating evidence that glutamatergic abnormalities are important in the pathophysiology of schizophrenia.

Country

United Kingdom

Related Organizations

University of Oxford
United Kingdom
Warneford Hospital
United Kingdom
Oxford Health NHS Foundation Trust
United Kingdom

Keywords

Benzodiazepines, Olanzapine, Schizophrenia, Humans, Receptors, Metabotropic Glutamate, Antipsychotic Agents

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	24
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%