Cited by 24Cannabis and Cannabinoid ResearchForensic Toxicology and Drug AnalysisAnalytical Methods in Pharmaceuticals

Urinary cannabinoid levels during nabiximols (Sativex®)-medicated inpatient cannabis withdrawal.

Kevin, Richard C., Allsop, David J., Lintzeris, Nicholas, Dunlop, Adrian J., Booth, Jessica, McGregor, Iain S.·2017·Forensic Toxicology

Integrity signals

Registry

Crossref · 10.1007/s11419-016-0330-0

Cites

51 of 51 references verified0 citation errors · 0 not checkable

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Authors
Kevin, R. C., Allsop, D. J., Lintzeris, N., Dunlop, A. J., Booth, J., & McGregor, I. S.
Affiliations
  • The University of Sydney (AU)
  • Hunter New England Local Health District (AU)
Corresponding author
McGregor, Iain S.
Venue
Forensic Toxicology
Published
2016-08-04
Volume
35
Issue
1
Pages
33-44
ISSN
  • 1860-8965 (ISSN-L)
  • 1860-8973
OpenAlex
W2498795913
Cited by
24
References
51
Citations by year
2026: 2 · 2025: 3 · 2023: 1 · 2022: 2 · 2020: 6 · 2019: 4 · 2018: 4 · 2017: 1 · 2016: 1
FWCI
2.70
Type
journal article
Language
en
Open access
closed
Locations
  • Forensic Toxicology (publishedVersion)
  • NOVA (University of Newcastle Australia) (submittedVersion)
Funders
National Health and Medical Research Council (1006036)
Topics
  • Health Sciences › Medicine › Pharmacology › Cannabis and Cannabinoid Research
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Toxicology › Forensic Toxicology and Drug Analysis
  • Physical Sciences › Chemistry › Analytical Chemistry › Analytical Methods in Pharmaceuticals
Keywords
nabiximols, Sativex, cannabis withdrawal, cannabis use disorder, cannabidiol, tetrahydrocannabinol, THC metabolites, 11-nor-9-carboxy-THC, 11-hydroxy-THC, glucuronide hydrolysis, beta-glucuronidase, medication adherence

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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.

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