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      Internet interventions for adult illicit substance users: a meta‐analysis

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          Abstract

          Background and Aims

          Research has shown that internet interventions can be effective for dependent users of various substances. However, less is known about the effects of these interventions on users of opioids, cocaine and amphetamines than for other substances. We aimed to investigate the effectiveness of internet interventions in decreasing the usage of these types of substances.

          Methods

          We conducted a systematic literature search in the databases of PubMed, PsycINFO, Embase and the Cochrane Library to identify randomized controlled trials examining the effectiveness of internet interventions compared with control conditions in reducing the use of opioids, cocaine and amphetamines. No setting restrictions were applied. The risk of bias of the included studies was examined according to the Cochrane Risk of Bias assessment tool. The primary outcome was substance use reduction assessed through toxicology screening, self‐report or both at post‐treatment and at the follow‐up assessment.

          Results

          Seventeen studies with 2836 adult illicit substance users were included. The risk of bias varied across the included studies. Internet interventions decreased significantly opioid [four studies, n = 606, g = 0.36; 95% confidence interval (CI) = 0.20–0.53, P < 0.001] and any illicit substance use (nine studies, n = 1749, g = 0.35; 95% CI = 0.24–0.45, P < 0.001) at post‐treatment. Conversely, the effect of internet intervention for stimulant users was small and non‐significant (four studies, n = 481, P = 0.164). Overall, internet interventions decreased substance significantly use at post‐treatment (17 studies, n = 2836, g = 0.31; 95% CI = 0.23–0.39, P < 0.001) and at the follow‐up assessments (nine studies, n = 1906, g = 0.22; 95% CI = 0.07–0.37; P = 0.003).

          Conclusions

          Internet interventions demonstrate small but significant effects in decreasing substance use among various target populations at post‐treatment and at the follow‐up assessment. However, given the small number of available studies for certain substances, the findings should be interpreted with caution.

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          Most cited references49

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          Statistical Power Analysis for the Behavioral Sciences

          <i>Statistical Power Analysis</i> is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: <br> * a chapter covering power analysis in set correlation and multivariate methods;<br> * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;<br> * expanded power and sample size tables for multiple regression/correlation.<br>
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            Global burden of disease attributable to illicit drug use and dependence: findings from the Global Burden of Disease Study 2010.

            No systematic attempts have been made to estimate the global and regional prevalence of amphetamine, cannabis, cocaine, and opioid dependence, and quantify their burden. We aimed to assess the prevalence and burden of drug dependence, as measured in years of life lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life years (DALYs). We conducted systematic reviews of the epidemiology of drug dependence, and analysed results with Global Burden of Diseases, Injuries, and Risk Factors Study 2010 (GBD 2010) Bayesian meta-regression technique (DisMod-MR) to estimate population-level prevalence of dependence and use. GBD 2010 calculated new disability weights by use of representative community surveys and an internet-based survey. We combined estimates of dependence with disability weights to calculate prevalent YLDs, YLLs, and DALYs, and estimated YLDs, YLLs, and DALYs attributable to drug use as a risk factor for other health outcomes. Illicit drug dependence directly accounted for 20·0 million DALYs (95% UI 15·3-25·4 million) in 2010, accounting for 0·8% (0·6-1·0) of global all-cause DALYs. Worldwide, more people were dependent on opioids and amphetamines than other drugs. Opioid dependence was the largest contributor to the direct burden of DALYs (9·2 million, 95% UI 7·1-11·4). The proportion of all-cause DALYs attributed to drug dependence was 20 times higher in some regions than others, with an increased proportion of burden in countries with the highest incomes. Injecting drug use as a risk factor for HIV accounted for 2·1 million DALYs (95% UI 1·1-3·6 million) and as a risk factor for hepatitis C accounted for 502,000 DALYs (286,000-891,000). Suicide as a risk of amphetamine dependence accounted for 854,000 DALYs (291,000-1,791,000), as a risk of opioid dependence for 671,000 DALYs (329,000-1,730,000), and as a risk of cocaine dependence for 324,000 DALYs (109,000-682,000). Countries with the highest rate of burden (>650 DALYs per 100,000 population) included the USA, UK, Russia, and Australia. Illicit drug use is an important contributor to the global burden of disease. Efficient strategies to reduce disease burden of opioid dependence and injecting drug use, such as delivery of opioid substitution treatment and needle and syringe programmes, are needed to reduce this burden at a population scale. Australian National Health and Medical Research Council, Australian Government Department of Health and Ageing, Bill & Melinda Gates Foundation. Copyright © 2013 Elsevier Ltd. All rights reserved.
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              Cognitive-behavioral treatment with adult alcohol and illicit drug users: a meta-analysis of randomized controlled trials.

              This meta-analysis examined 53 controlled trials of cognitive-behavioral treatment (CBT) for adults diagnosed with alcohol- or illicit-drug-use disorders. The aims were to provide an overall picture of CBT treatment efficacy and to identify client or treatment factors predictive of CBT effect magnitude. The inverse variance weighted effect size (Hedges' g) was calculated for each study and pooled using fixed and random effects methods. Potential study-level moderators were assessed in subgroup analyses by primary drug, type of CBT, and type of comparison condition. In addition, seven client and treatment variables were examined in meta-regression analyses. Across studies, CBT produced a small but statistically significant treatment effect (g = 0.154, p < .005). The pooled effect was somewhat lower at 6-9 months (g = 0.1 15, p < .005) and continued to diminish at 12-month follow-up (g = 0.096, p < .05). The effect of CBT was largest in marijuana studies (g = 0.513, p < .005) and in studies with a no-treatment control as the comparison condition (g = 0.796, p < .005). Meta-regression analyses indicated that the percentage of female participants was positively associated and the number of treatment sessions was negatively associated with effect size. The findings demonstrate the utility of CBT across a large and diverse sample of studies and under rigorous conditions for establishing efficacy. CBT effects were strongest with marijuana users, when CBT was compared with no treatment, and may be larger with women than with men and when delivered in a brief format.
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                Author and article information

                Contributors
                n.boumparis@vu.nl
                Journal
                Addiction
                Addiction
                10.1111/(ISSN)1360-0443
                ADD
                Addiction (Abingdon, England)
                John Wiley and Sons Inc. (Hoboken )
                0965-2140
                1360-0443
                25 April 2017
                September 2017
                : 112
                : 9 ( doiID: 10.1111/add.v112.9 )
                : 1521-1532
                Affiliations
                [ 1 ] Department of Clinical, Neuro, and Developmental Psychology Vrije Universiteit Amsterdam Amsterdam the Netherlands
                [ 2 ] EMGO, Institute of Health Care Research VU University Medical Centre Amsterdam the Netherlands
                [ 3 ] Swiss Research Institute for Public Health and Addiction, associated to the University of Zurich Switzerland
                [ 4 ] Community Mental Health Centre GGZ inGeest Amsterdam the Netherlands
                Author notes
                [*] [* ] Correspondence to: Nikolaos Boumparis, Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BT Amsterdam, the Netherlands. E‐mail: n.boumparis@ 123456vu.nl
                Article
                ADD13819 ADD-16-0890.R1
                10.1111/add.13819
                5573910
                28295758
                b721197c-6d9d-42a5-a9f5-c431293e01bd
                © 2017 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.

                This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 06 September 2016
                : 06 December 2016
                : 08 March 2017
                Page count
                Figures: 2, Tables: 3, Pages: 12, Words: 4458
                Categories
                Review
                Review
                Custom metadata
                2.0
                add13819
                September 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.1.8 mode:remove_FC converted:29.08.2017

                Clinical Psychology & Psychiatry
                internet interventions,meta‐analysis,opioid,stimulant,substance use,web‐based

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