1
|
Stampf A, Schwarzkopf L, Batalla A, Feingold D, Fischer B, Hoch E. Cannabis-related treatment demand at the eve of German cannabis legalization - a 20-years trend analysis. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01832-w. [PMID: 38951248 DOI: 10.1007/s00406-024-01832-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 05/27/2024] [Indexed: 07/03/2024]
Abstract
Post-2000, the prevalence of cannabis consumption has been rising internationally. This paper investigates whether cannabis-related treatment demand in German outpatient addiction care facilities (OACFs) has been following this trend. Treatment demand related to cannabis use disorder (CUD) for the period 2001 to 2021 was investigated using data from the nation-wide standardized German Addiction Care Statistical Service. Analyses covered all and first-time treatment admissions, demographics, and treatment outcomes. We identified years with significant changes in slope or direction of trends through joinpoint regression. Trends within the CUD client population were contrasted with trends among the entire OACF client population. CUD is the second-most common cause for OACF admissions in Germany. Between 2001 and 2021, the share of CUD-related cases among total OACF caseload increased from 7.1 to 19.9%, whereby the share of first-time treatment admissions declined from 79.6 to 55.6%. The share of CUD client population > 35 years almost tripled from 6.0 to 17.4%, that of female client population rose from 15.6 to 18.1%. From 2001 to 2007, the share of CUD-related treatments completed with improved symptomatology increased from 54.7 to 65.6%, followed by a marginal decline. CUD-related treatment demand is growing in Germany's OACFs, involving a client population that is increasingly older and more experienced with the addiction care system. As current intervention programmes mainly target adolescents and young adults who have been consuming cannabis only for a short time, adapting service offers to the changing client profiles appears paramount to improve treatment effectiveness.
Collapse
Affiliation(s)
- Alisa Stampf
- IFT Institut Für Therapieforschung, Centre for Mental Health and Addiction Research, Leopoldstrasse 175, 80804, Munich, Germany
| | - Larissa Schwarzkopf
- IFT Institut Für Therapieforschung, Centre for Mental Health and Addiction Research, Leopoldstrasse 175, 80804, Munich, Germany.
- Department of Psychiatry and Psychotherapy, University Clinic of the Ludwig Maximilians University Munich, Nussbaumstraße 7, 80336, Munich, Germany.
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Marchioninistrasse 17, 80336, Munich, Germany.
| | - Albert Batalla
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Daniel Feingold
- Psychology Department, Achva Academic College, 1 Achva, MP. Shikmim, 7980400, Arugot, Israel
| | - Benedikt Fischer
- Research & Graduate Studies, University of the Fraser Valley, 33844 King Road, Abbotsford, BC, Canada
- Department of Psychiatry, University of Toronto, 250 College St, Toronto, Canada
- Department of Psychiatry, Federal University of Sao Paulo, R. Sena Madureira, São Paulo, 1500, Brazil
- School of Population Health, University of Auckland, 85 Park Road, Auckland, New Zealand
| | - Eva Hoch
- IFT Institut Für Therapieforschung, Centre for Mental Health and Addiction Research, Leopoldstrasse 175, 80804, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Clinic of the Ludwig Maximilians University Munich, Nussbaumstraße 7, 80336, Munich, Germany
- School of Population Health, University of Auckland, 85 Park Road, Auckland, New Zealand
- Department Psychologie, Professur Für Klinische Psychologie Und Psychotherapie, Charlotte-Fresenius-Universität, Infanteriestrasse 11a, 80797, Munich, Germany
| |
Collapse
|
2
|
Littell JH, Pigott TD, Nilsen KH, Roberts J, Labrum TK. Functional Family Therapy for families of youth (age 11-18) with behaviour problems: A systematic review and meta-analysis. CAMPBELL SYSTEMATIC REVIEWS 2023; 19:e1324. [PMID: 37475879 PMCID: PMC10354626 DOI: 10.1002/cl2.1324] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
Background Functional Family Therapy (FFT) is a short-term family-based intervention for youth with behaviour problems. FFT has been widely implemented in the USA and other high-income countries. It is often described as an evidence-based program with consistent, positive effects. Objectives We aimed to synthesise the best available data to assess the effectiveness of FFT for families of youth with behaviour problems. Search Methods Searches were performed in 2013-2014 and August 2020. We searched 22 bibliographic databases (including PsycINFO, ERIC, MEDLINE, Science Direct, Sociological Abstracts, Social Services Abstracts, World CAT dissertations and theses, and the Web of Science Core Collection), as well as government policy databanks and professional websites. Reference lists of articles were examined, and experts were contacted to search for missing information. Selection Criteria We included randomised controlled trials (RCTs) and quasi-experimental designs (QEDs) with parallel cohorts and statistical controls for between-group differences at baseline. Participants were families of young people aged 11-18 with behaviour problems. FFT programmes were compared with usual services, alternative treatment, and no treatment. There were no publication, geographic, or language restrictions. Data Collection and Analysis Two reviewers independently screened 1039 titles and abstracts, read all available study reports, assessed study eligibility, and extracted data onto structured electronic forms. We assessed risks of bias (ROB) using modified versions of the Cochrane ROB tool and the What Works Clearinghouse standards. Where possible, we used random effects models with inverse variance weights to pool results across studies. We used odds ratios for dichotomous outcomes and standardised mean differences for continuous outcomes. We used Hedges g to adjust for small sample sizes. We assessed the heterogeneity of effects with χ 2 and I 2. We produced separate forest plots for conceptually distinct outcomes and for different endpoints (<9, 9-14, 15-23, and 24-42 months after referral). We grouped studies by study design (RCT or QED), and then assessed differences between these two subgroups of studies with χ 2 tests. We generated robust variance estimates, using correlated effects (CE) models with small sample corrections to synthesise all available outcome data. Exploratory CE analyses assessed potential moderators of effects within these domains. We used GRADE guidelines to assess the certainty of evidence on six primary outcomes at 1 year after referral. Main Results Twenty studies (14 RCTs and 6 QEDs) met our inclusion criteria. Fifteen of these studies provided some valid data for meta-analysis; these studies included 10,980 families in relevant FFT and comparison groups. All included studies had high risks of bias on at least one indicator. Half of the studies had high risks of bias on baseline equivalence, support for intent-to-treat analysis, selective reporting, and conflicts of interest. Fifteen studies had incomplete reporting of outcomes and endpoints. Using the GRADE rubric, we found that the certainty of evidence for FFT was very low for all of our primary outcomes. Using pairwise meta-analysis, we found no evidence of effects of FFT compared with other active treatments on any primary or secondary outcomes. Primary outcomes were: recidivism, out-of-home placement, internalising behaviour problems, external behaviour problems, self-reported delinquency, and drug or alcohol use. Secondary outcomes were: peer relations and prosocial behaviour, youth self esteem, parent symptoms and behaviour, family functioning, school attendance, and school performance. There were few studies in the pairwise meta-analysis (k < 7) and little heterogeneity of effects across studies in most of these analyses. There were few differences between effect estimates obtained in RCTs versus QEDs. More comprehensive CE models showed positive results of FFT in some domains and negative results in others, but these effects were small (standardised mean difference [SMD] <|0.20|) and not significantly different from no effect with one exception: Two studies found positive effects of FFT on youth substance abuse and two studies found null results in this domain, and the overall effect estimate for this outcome was statistically different from zero. Over all outcomes (15 studies and 293 effect sizes), small positive effects were detected (SMD = 0.19, SE = 0.09), but these were not significantly different from zero effect. Prediction intervals showed that future FFT evaluations are likely to produce a wide range of results, including moderate negative effects and strong positive results (-0.37 to 0.75). Authors’ Conclusions Results of 10 RCTs and five QEDs show that FFT does not produce consistent benefits or harms for youth with behavioural problems and their families. The positive or negative direction of results is inconsistent within and across studies. Most outcomes are not fully reported, the quality of available evidence is suboptimal, and the certainty of this evidence is very low. Overall estimates of effects of FFT may be inflated, due to selective reporting and publication biases.
Collapse
Affiliation(s)
- Julia H. Littell
- Graduate School of Social Work and Social ResearchBryn Mawr CollegeBryn MawrPennsylvaniaUSA
| | | | - Karianne H. Nilsen
- Regional Centre for Child and Adolescent Mental HealthEastern and Southern Norway (RBUP)OsloNorway
| | - Jennifer Roberts
- School of Social Sciences, Education and Social WorkQueen's University BelfastBelfastUK
| | - Travis K. Labrum
- School of Social WorkUniversity of PittsburghPittsburghPennsylvaniaUSA
| |
Collapse
|
4
|
Penzel N, Sanfelici R, Antonucci LA, Betz LT, Dwyer D, Ruef A, Cho KIK, Cumming P, Pogarell O, Howes O, Falkai P, Upthegrove R, Borgwardt S, Brambilla P, Lencer R, Meisenzahl E, Schultze-Lutter F, Rosen M, Lichtenstein T, Kambeitz-Ilankovic L, Ruhrmann S, Salokangas RKR, Pantelis C, Wood SJ, Quednow BB, Pergola G, Bertolino A, Koutsouleris N, Kambeitz J, Dwyer D, Ruef A, Kambeitz-Ilankovic L, Sen Dong M, Erkens A, Gussmann E, Haas S, Hasan A, Hoff C, Khanyaree I, Melo A, Muckenhuber-Sternbauer S, Kohler J, Ozturk OF, Popovic D, Rangnick A, von Saldern S, Sanfelici R, Spangemacher M, Tupac A, Urquijo MF, Weiske J, Wosgien A, Kambeitz J, Ruhrmann S, Rosen M, Betz L, Lichtenstein T, Blume K, Seves M, Kaiser N, Penzel N, Pilgram T, Lichtenstein T, Wenzel J, Woopen C, Borgwardt S, Andreou C, Egloff L, Harrisberger F, Lenz C, Leanza L, Mackintosh A, Smieskova R, Studerus E, Walter A, Widmayer S, Upthegrove R, Wood SJ, Chisholm K, Day C, Griffiths SL, Lalousis PA, Iqbal M, Pelton M, Mallikarjun P, Stainton A, Lin A, Salokangas RKR, Denissoff A, Ellila A, From T, Heinimaa M, Ilonen T, Jalo P, Laurikainen H, Lehtinen M, Luutonen A, Makela A, Paju J, Pesonen H, Armio Säilä RL, Sormunen E, Toivonen A, Turtonen O, Solana AB, Abraham M, Hehn N, Schirmer T, Brambilla P, Altamura C, Belleri M, Bottinelli F, Ferro A, Re M, Monzani E, Percudani M, Sberna M, D’Agostino A, Del Fabro L, Perna G, Nobile M, Alciati A, Balestrieri M, Bonivento C, Cabras G, Fabbro F, Garzitto M, PiCCuin S, Bertolino A, Blasi G, Antonucci LA, Pergola G, Caforio G, Faio L, Quarto T, Gelao B, Romano R, Andriola I, Falsetti A, Barone M, Passatiore R, Sangiuliano M, Lencer R, Surman M, Bienek O, Romer G, Dannlowski U, Meisenzahl E, Schultze-Lutter F, Schmidt-Kraepelin C, Neufang S, Korda A, Rohner H. Pattern of predictive features of continued cannabis use in patients with recent-onset psychosis and clinical high-risk for psychosis. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:19. [PMID: 35264631 PMCID: PMC8907166 DOI: 10.1038/s41537-022-00218-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 01/31/2022] [Indexed: 11/09/2022]
Abstract
Continued cannabis use (CCu) is an important predictor for poor long-term outcomes in psychosis and clinically high-risk patients, but no generalizable model has hitherto been tested for its ability to predict CCu in these vulnerable patient groups. In the current study, we investigated how structured clinical and cognitive assessments and structural magnetic resonance imaging (sMRI) contributed to the prediction of CCu in a group of 109 patients with recent-onset psychosis (ROP). We tested the generalizability of our predictors in 73 patients at clinical high-risk for psychosis (CHR). Here, CCu was defined as any cannabis consumption between baseline and 9-month follow-up, as assessed in structured interviews. All patients reported lifetime cannabis use at baseline. Data from clinical assessment alone correctly classified 73% (p < 0.001) of ROP and 59 % of CHR patients. The classifications of CCu based on sMRI and cognition were non-significant (ps > 0.093), and their addition to the interview-based predictor via stacking did not improve prediction significantly, either in the ROP or CHR groups (ps > 0.065). Lower functioning, specific substance use patterns, urbanicity and a lack of other coping strategies contributed reliably to the prediction of CCu and might thus represent important factors for guiding preventative efforts. Our results suggest that it may be possible to identify by clinical measures those psychosis-spectrum patients at high risk for CCu, potentially allowing to improve clinical care through targeted interventions. However, our model needs further testing in larger samples including more diverse clinical populations before being transferred into clinical practice.
Collapse
Affiliation(s)
- Nora Penzel
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany.,Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany.,Group of Psychiatric Neuroscience, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy
| | - Rachele Sanfelici
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany.,Max-Planck Institute of Psychiatry, Munich, Germany
| | - Linda A Antonucci
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany.,Department of Education, Psychology, Communication, University of Bari, Bari, Italy
| | - Linda T Betz
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany
| | - Dominic Dwyer
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Anne Ruef
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Kang Ik K Cho
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Paul Cumming
- Department of Nuclear Medicine, Bern University Hospital, Bern, Switzerland.,School of Psychology and Counselling, Queensland University of Technology, Brisbane, QLD, Australia.,International Research Lab in Neuropsychiatry, Neuroscience Research Institute, Samara State Medical University, Samara, Russia
| | - Oliver Pogarell
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Oliver Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK.,MRC London Institute of Medical Sciences, Hammersmith Hospital, London, W12 0NN, UK.,Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK.,South London and Maudsley NHS Foundation Trust, London, SE5 8AF, UK
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany.,Max-Planck Institute of Psychiatry, Munich, Germany
| | - Rachel Upthegrove
- Institute for Mental Health, University of Birmingham, Birmingham, UK.,Early Intervention Service, Birmingham Womens and Childrens NHS Foundation Trust, Birmingham, UK
| | - Stefan Borgwardt
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland.,Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCUS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.,Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Rebekka Lencer
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.,Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany.,Otto Creutzfeldt Center for Behavioral and Cognitive Neuroscience, University of Münster, Münster, Germany
| | - Eva Meisenzahl
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.,Department of Psychology, Faculty of Psychology, Airlangga University, Surabaya, Indonesia.,University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Marlene Rosen
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany
| | - Theresa Lichtenstein
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany
| | - Lana Kambeitz-Ilankovic
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany.,Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Stephan Ruhrmann
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany
| | | | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, University of Melbourne & Melbourne Health, Melbourne, VIC, Australia
| | - Stephen J Wood
- Institute for Mental Health, University of Birmingham, Birmingham, UK.,Orygen, Melbourne, VIC, Australia.,Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Boris B Quednow
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric Hospital of the University of Zurich, Lenggstr. 31, 8032, Zurich, Switzerland
| | - Giulio Pergola
- Group of Psychiatric Neuroscience, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy
| | - Alessandro Bertolino
- Group of Psychiatric Neuroscience, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany.,Max-Planck Institute of Psychiatry, Munich, Germany.,Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King's College London, London, UK
| | - Joseph Kambeitz
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
8
|
Anthony JC, Lopez-Quintero C, Alshaarawy O. Cannabis Epidemiology: A Selective Review. Curr Pharm Des 2017; 22:6340-6352. [PMID: 27526792 PMCID: PMC5296933 DOI: 10.2174/1381612822666160813214023] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Accepted: 08/15/2016] [Indexed: 01/30/2023]
Abstract
BACKGROUND Globally, the most widely used set of compounds among the internationally regulated drugs is cannabis. OBJECTIVE To review evidence from epidemiological research on cannabis, organized in relation to this field's five main rubrics: quantity, location, causes, mechanisms, and prevention/ control. METHOD The review covers a selection of evidence from standardized population surveys, official statistics, and governmental reports, as well as published articles and books identified via MEDLINE, Web of Science, and Google Scholar as of July 2016. RESULTS In relation to quantity, an estimated 3% to 5% of the world population is thought to have tried a cannabis product, with at least one fairly recent use, mainly extra-medical and outside boundaries of prescribed use. Among cannabis users in the United States, roughly one in 7-8 has engaged in medical marijuana use. In relation to location, prevalence proportions reveal important variations across countries and between subgroups within countries. Regarding causes and mechanisms of starting to use cannabis, there is no compelling integrative and replicable conceptual model or theoretical formulation. Most studies of mechanisms have focused upon a 'gateway sequence' and person-to-person diffusion, with some recent work on disability-adjusted life years. A brief review of cannabis use consequences, as well as prevention and control strategies is also provided. CONCLUSION At present, we know much about the frequency and occurrence of cannabis use, with too little replicable definitive evidence with respect to the other main rubrics. Given a changing regulatory environment for cannabis products, new institutions such as an independent International Cannabis Products Safety Commission may be required to produce evidence required to weigh benefits versus costs. It is not clear that governmentsponsored research will be sufficient to meet consumer demand for balanced points of view and truly definitive evidence.
Collapse
Affiliation(s)
- James C. Anthony
- Department of Epidemiology & Biostatistics, College of Human Medicine, Michigan State University, East Lansing, Michigan, 48824, USA
| | - Catalina Lopez-Quintero
- Department of Epidemiology & Biostatistics, College of Human Medicine, Michigan State University, East Lansing, Michigan, 48824, USA
- Substance Use and HIV Neuropsychology (SUHN) Lab, Center for Children and Families, Department of Psychology, Florida International University, Miami, Florida, 33199, USA
| | - Omayma Alshaarawy
- Department of Epidemiology & Biostatistics, College of Human Medicine, Michigan State University, East Lansing, Michigan, 48824, USA
| |
Collapse
|