The DOI matches its Crossref record.
Naltrexone, an Antagonist for the Treatment of Heroin Dependence: Effects in Man
Abstract
Naltrexone (EN-1639A) is approximately 17 times more potent than nalorphine as an antagonist in man. It is virtually devoid of agonistic activity, including the ability to induce nalorphine-like dysphoric effects. Its duration of action is longer than that of naloxone, but shorter than that of cyclazocine. It is effective orally. When administered in a dose level of 50 mg/day, it produces a degree of blockade of the effects of morphine and heroin that is comparable to that obtained with 4 mg of cyclazocine per day orally. Naltrexone, thus, appears to be a relatively pure potent narcotic antagonist which is effective orally and which may have utility in the treatment of heroin and narcotic dependence.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Jasinski, D. R. (1978) · Archives of General Psychiatry · doi:10.1001/archpsyc.1978.01770280111012 · Cited by 782
A Controlled Trial of Buprenorphine Treatment for Opioid Dependence
Johnson, R. E. (1992) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1992.03480200058024 · Cited by 572
Heroin and cocaine intravenous self-administration in rats: Mediation by separate neural systems
Ettenberg, A., Pettit, H. O., Bloom, F. E., & Koob, G. F. (1982) · Psychopharmacology · doi:10.1007/bf00428151 · Cited by 563
Double-blind naltrexone and placebo comparison study in the treatment of pathological gambling
Kim, S. W., Grant, J. E., Adson, D. E., & Shin, Y. C. (2001) · Biological Psychiatry · doi:10.1016/s0006-3223(01)01079-4 · Cited by 503
Buprenorphine suppresses heroin use by heroin addicts
Mello, N. K., & Mendelson, J. H. (1980) · Science · doi:10.1126/science.7352279 · Cited by 298
Metadata
- Authors
- Martin, W. R.
- Venue
- Archives of General Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 1973-06-01
- Volume
- 28
- Issue
- 6
- Pages
- 784
- ISSN
- 0003-990X (ISSN-L)
- OpenAlex
- W2059110077
- Cited by
- 392
- References
- 0
- FWCI
- 28.67
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Naltrexone, an Antagonist for the Treatment of Heroin Dependence: Effects in Man. https://app.cochat.ai/papers/10.1001/archpsyc.1973.01750360022003
- The paper
- Martin, W. R. (1973). Naltrexone, an Antagonist for the Treatment of Heroin Dependence: Effects in Man. Archives of General Psychiatry. https://doi.org/10.1001/archpsyc.1973.01750360022003
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.
