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Cited by 252

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

High levels of dopamine D2 receptor occupancy with low-dose haloperidol treatment: a PET study

·1996·American Journal of Psychiatry

Abstract

OBJECTIVE: The purpose of this study was to determine the dopamine D2 receptor occupancy induced by low-dose haloperidol treatment in a prospective trial. METHOD: Seven patients with schizophrenia were treated with 2 mg/day of haloperidol for 2 weeks, and D2 receptor occupancy was measured by [11C]raclopride and positron emission tomography. RESULTS: The patients showed high levels of D2 occupancy (53%-74%); five of them showed substantial clinical improvement, and none showed important side effects. CONCLUSIONS: The findings demonstrate that low doses of haloperidol induce D2 receptor occupancies that are in the putative therapeutic range. In combination with recent empirical trials, these findings should encourage clinicians to initiate treatment of psychotic episodes with low (2-4 mg haloperidol equivalent) doses of typical neuroleptics, particularly for first-episode patients.

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Crossref · 10.1176/ajp.153.7.948

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Metadata

Venue
American Journal of Psychiatry
Published
1996-07-01
Volume
153
Issue
7
Pages
948-950
ISSN
  • 0002-953X (ISSN-L)
  • 1535-7228
OpenAlex
W58194748
Cited by
252
References
10
FWCI
17.57
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: High levels of dopamine D2 receptor occupancy with low-dose haloperidol treatment: a PET study. https://app.cochat.ai/papers/10.1176/ajp.153.7.948
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High levels of dopamine D2 receptor occupancy with low-dose haloperidol treatment: a PET study. (1996). American Journal of Psychiatry. https://doi.org/10.1176/ajp.153.7.948

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.