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      Cannabidiol for the treatment of cannabis use disorder: Phase IIa double-blind placebo-controlled randomised adaptive Bayesian dose-finding trial

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          Abstract

          Background

          There is a substantial and unmet clinical need for pharmacological treatment of cannabis use disorders. Cannabidiol (CBD) could offer a novel treatment but it is unclear which doses might be effective or safe.

          Methods

          Participants meeting DSM-5 cannabis use disorder criteria were allocated to four-week treatment with oral CBD at 200mg, 400mg, 800mg or placebo during a cessation attempt using a double-blinded block randomisation sequence. All received a brief psychological intervention of motivational interviewing. An adaptive Bayesian dose-finding design was used to identify effective/ineffective doses at a priori interim and final analysis stages. The primary objective was to identify the Most Effective Dose (MED) of CBD for reducing cannabis use. The primary endpoint was lower urinary THC-COOH:creatinine concentrations and/or increased days per week abstinent from cannabis during treatment, evidenced by posterior probabilities exceeding Pr=0.9 for CBD versus placebo. All analyses were intention-to-treat.

          Outcomes

          Participants were initially randomised to placebo, 200mg, 400mg and 800mg CBD (n=48; 1:1:1:1). At interim analysis 200mg CBD was eliminated from the trial as an ineffective dose. Randomisation continued to 400mg CBD, 800mg CBD, and placebo (n=34; 1:1:1). At final analysis, both 400mg CBD and 800mg CBD exceeded primary endpoint criteria (Pr=0.9) for both primary outcomes: urinary THC-COOH:creatinine (Pr (400mg=MED | Data) =0.9995; Pr (800mg=MED | Data)=0.9965), days per week abstinent from cannabis (Pr (400mg=MED | Data)=0.9966; Pr (800mg=MED | Data)=0.9247). Compared to placebo, 400mg CBD decreased THC-COOH:creatinine concentrations by -94.21 ng/ml (95% Interval Estimate= -161.83, -35.56) and increased abstinence from cannabis by 0.48 days per week (95% Interval Estimate=0.15, 0.82). Compared to placebo, 800mg CBD decreased THC-COOH:creatinine concentrations by -72.02 ng/ml (95% Interval Estimate= -135.47, -19.52) and increased abstinence from cannabis by 0.27 days per week (95% Interval Estimate= -0.09, 0.64). CBD was well tolerated with no severe adverse events and 94% completed treatment.

          Interpretation

          In the first randomised clinical trial of CBD for cannabis use disorder, 400mg and 800mg CBD were safe and more effective than placebo at reducing cannabis use.

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          Most cited references39

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          • Abstract: found
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          The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research

          Despite the prevalence of sleep complaints among psychiatric patients, few questionnaires have been specifically designed to measure sleep quality in clinical populations. The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire which assesses sleep quality and disturbances over a 1-month time interval. Nineteen individual items generate seven "component" scores: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. The sum of scores for these seven components yields one global score. Clinical and clinimetric properties of the PSQI were assessed over an 18-month period with "good" sleepers (healthy subjects, n = 52) and "poor" sleepers (depressed patients, n = 54; sleep-disorder patients, n = 62). Acceptable measures of internal homogeneity, consistency (test-retest reliability), and validity were obtained. A global PSQI score greater than 5 yielded a diagnostic sensitivity of 89.6% and specificity of 86.5% (kappa = 0.75, p less than 0.001) in distinguishing good and poor sleepers. The clinimetric and clinical properties of the PSQI suggest its utility both in psychiatric clinical practice and research activities.
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            An Inventory for Measuring Depression

            A. Beck (1961)
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              An inventory for measuring clinical anxiety: Psychometric properties.

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                Author and article information

                Journal
                101638123
                Lancet Psychiatry
                Lancet Psychiatry
                The lancet. Psychiatry
                2215-0366
                2215-0374
                09 June 2020
                October 2020
                28 July 2020
                01 April 2021
                : 7
                : 10
                : 865-874
                Affiliations
                [1 ]Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, UK
                [2 ]Clinical Psychopharmacology Unit, University College London, UK
                [3 ]National Addiction Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK
                [4 ]Translational Psychiatry Research Group, Research Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
                [5 ]NIHR University College London Hospitals Biomedical Research Centre, UK
                [6 ]Department of Statistical Science, University College London, UK
                [7 ]Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK
                [8 ]The Traumatic Stress Clinic, St Pancras Hospital, Camden and Islington NHS Foundation Trust, London, United Kingdom
                [9 ]National Hospital for Neurology and Neurosurgery, Queen Square, London, United Kingdom
                [10 ]Substance Misuse Services, Camden and Islington NHS Foundation Trust, London, UK
                [11 ]Translational Research Office, School of Life & Medical Sciences, UCL
                [12 ]Psychopharmacology and Addiction Research Centre (PARC), University of Exeter, Exeter, UK
                [13 ]University College Hospital, National Hospital for Neurology and Neurosurgery
                Author notes
                [* ]Address correspondence to: Tom Freeman, Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, BA2 7AY
                Article
                PMC7116091 PMC7116091 7116091 ems86539
                10.1016/S2215-0366(20)30290-X
                7116091
                32735782
                e5ba1bfb-7fea-42ba-a29a-a459a96c1993
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