Which biological and self-report measures of cannabis use predict cannabis dependency and acute psychotic-like effects?
Journal article
Curran, H. Valerie, Hindocha, Chandni, Morgan, Celia J. A., Shaban, Natacha, Das, Ravi K. and Freeman, Tom P.. (2019). Which biological and self-report measures of cannabis use predict cannabis dependency and acute psychotic-like effects? Psychological Medicine. 49(9), pp. 1574-1580. https://doi.org/10.1017/S003329171800226X
Authors | Curran, H. Valerie, Hindocha, Chandni, Morgan, Celia J. A., Shaban, Natacha, Das, Ravi K. and Freeman, Tom P. |
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Abstract | Background Method Results Conclusions |
Keywords | biological markers; cannabinoids; cannabis; predictors of dependence; predictors of psychotic-like; self-report measures |
Year | 2019 |
Journal | Psychological Medicine |
Journal citation | 49 (9), pp. 1574-1580 |
Publisher | Cambridge University Press |
ISSN | 0033-2917 |
Digital Object Identifier (DOI) | https://doi.org/10.1017/S003329171800226X |
Scopus EID | 2-s2.0-85052929061 |
Open access | Published as ‘gold’ (paid) open access |
Research or scholarly | Research |
Page range | 1574-1580 |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
Online | 04 Sep 2018 |
Publication process dates | |
Accepted | 02 Aug 2018 |
Deposited | 09 Jun 2021 |
https://acuresearchbank.acu.edu.au/item/8w369/which-biological-and-self-report-measures-of-cannabis-use-predict-cannabis-dependency-and-acute-psychotic-like-effects
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Publisher's version
OA_Curran_2019_Which_biological_and_self_report_measures.pdf | |
License: CC BY 4.0 | |
File access level: Open |
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