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Nguyen N, Bold KW, McClure EA. Urgent need for treatment addressing co-use of tobacco and cannabis: An updated review and considerations for future interventions. Addict Behav 2024; 158:108118. [PMID: 39089194 DOI: 10.1016/j.addbeh.2024.108118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 07/10/2024] [Accepted: 07/19/2024] [Indexed: 08/03/2024]
Abstract
BACKGROUND There are no clinical practice guidelines addressing the treatment of tobacco-cannabis co-use and a dearth of studies to inform treatment for co-use. This narrative review aims to (1) summarize promising intervention components used in published co-use treatment studies, (2) describe key gaps and emerging issues in co-use, and (3) provide recommendations and considerations in the development and evaluation of co-use interventions. METHODS We conducted a literature search in June 2024 across several databases to update previous reviews on tobacco-cannabis co-use treatment. We found 9 published intervention studies that specifically addressed treatment for both substances. Data from these studies were manually extracted and summarized. RESULTS Most of the 9 included studies (1) focused on acceptability and/or feasibility, (2) provided both psychosocial/behavioral and pharmacotherapy intervention components, (3) were conducted in adults, and (4) were delivered in-person, with some having digital asynchronous components, for a 5-to-12-week duration. The most common psychosocial/behavioral strategies used were Cognitive Behavioral Therapy, Motivational Interviewing, and Contingency Management; while the most common pharmacotherapy was Nicotine Replacement Therapy. There was no evidence of compensatory use of tobacco or cannabis when providing simultaneous treatment for both substances. CONCLUSIONS The literature to date provides support for well-integrated multi-component interventions of psychosocial/behavioral and pharmacotherapy strategies for co-use treatment. This review reinforces an urgent need for treatments targeting tobacco and cannabis co-use. Future interventions should address key gaps, including co-use of vaporized products among youth and young adults, tailored interventions for priority populations, and digital applications to increase reach and advance health equity.
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Affiliation(s)
- Nhung Nguyen
- Center for Tobacco Control Research and Education, University of California San Francisco, CA, USA; Division of General Internal Medicine, Department of Medicine, University of California San Francisco, CA, USA.
| | - Krysten W Bold
- Department of Psychiatry, Yale School of Medicine, CT, USA; Yale Cancer Center, CT, USA
| | - Erin A McClure
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, SC, USA; Hollings Cancer Center, Medical University of South Carolina, SC, USA
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Kerr G, Greenfield G, Hayhoe B, Gaughran F, Halvorsrud K, Pinto da Costa M, Rehill N, Raine R, Majeed A, Costelloe C, Neves AL, Beaney T. Attendance at remote versus in-person outpatient appointments in an NHS Trust. J Telemed Telecare 2023:1357633X231216501. [PMID: 38128925 DOI: 10.1177/1357633x231216501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
INTRODUCTION With the growing use of remote appointments within the National Health Service, there is a need to understand potential barriers of access to care for some patients. In this observational study, we examined missed appointments rates, comparing remote and in-person appointments among different patient groups. METHODS We analysed adult outpatient appointments at Imperial College Healthcare NHS Trust in Northwest London in 2021. Rates of missed appointments per patient were compared between remote versus in-person appointments using negative binomial regression models. Models were stratified by appointment type (first or a follow-up). RESULTS There were 874,659 outpatient appointments for 189,882 patients, 29.5% of whom missed at least one appointment. Missed rates were 12.5% for remote first appointments and 9.2% for in-person first appointments. Remote and in-person follow-up appointments were missed at similar rates (10.4% and 10.7%, respectively). For remote and in-person appointments, younger patients, residents of more deprived areas, and patients of Black, Mixed and 'other' ethnicities missed more appointments. Male patients missed more in-person appointments, particularly at younger ages, but gender differences were minimal for remote appointments. Patients with long-term conditions (LTCs) missed more first appointments, whether in-person or remote. In follow-up appointments, patients with LTCs missed more in-person appointments but fewer remote appointments. DISCUSSION Remote first appointments were missed more often than in-person first appointments, follow-up appointments had similar attendance rates for both modalities. Sociodemographic differences in outpatient appointment attendance were largely similar between in-person and remote appointments, indicating no widening of inequalities in attendance due to appointment modality.
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Affiliation(s)
- Gabriele Kerr
- Department of Primary Care and Public Health, Imperial College London, London, UK
- NIHR Applied Research Collaboration Northwest London, London, UK
| | - Geva Greenfield
- Department of Primary Care and Public Health, Imperial College London, London, UK
- NIHR Applied Research Collaboration Northwest London, London, UK
| | - Benedict Hayhoe
- Department of Primary Care and Public Health, Imperial College London, London, UK
- NIHR Applied Research Collaboration Northwest London, London, UK
| | - Fiona Gaughran
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | | | - Mariana Pinto da Costa
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
- NIHR Applied Research Collaboration South London, London, UK
| | | | - Rosalind Raine
- NIHR Applied Research Collaboration North Thames, London, UK
- Department of Applied Health Research, University College London (UCL), London, UK
| | - Azeem Majeed
- Department of Primary Care and Public Health, Imperial College London, London, UK
- NIHR Applied Research Collaboration Northwest London, London, UK
| | - Ceire Costelloe
- Department of Primary Care and Public Health, Imperial College London, London, UK
- Institute of Cancer Research, Sutton, UK
| | - Ana Luisa Neves
- Department of Primary Care and Public Health, Imperial College London, London, UK
- NIHR Applied Research Collaboration Northwest London, London, UK
| | - Thomas Beaney
- Department of Primary Care and Public Health, Imperial College London, London, UK
- NIHR Applied Research Collaboration Northwest London, London, UK
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Tay Wee Teck J, Butner JL, Baldacchino A. Understanding the use of telemedicine across different opioid use disorder treatment models: A scoping review. J Telemed Telecare 2023:1357633X231195607. [PMID: 37661829 DOI: 10.1177/1357633x231195607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
INTRODUCTION The COVID-19 pandemic has instigated the development of telemedicine-mediated provision of medications for opioid use disorder such as buprenorphine and methadone, referred to as TMOUD in this study. As services start to return to pre-pandemic norms, there is a debate around the role of TMOUD as addition to or replacement of the conventional cascade of care for people with opioid use disorder (PWOUD). This scoping review is designed to characterize existing TMOUD services and provide insights to enable a more nuanced discussion on the role of telemedicine in the care of PWOUD. METHODS The literature search was conducted in OVID Medline, CINAHL, and PsycINFO, from inception up to and including April 2023, using the Joanna Briggs Institute methodology for scoping reviews. The review considered any study design that detailed sufficient descriptive information on a given TMOUD service. A data extraction form was developed to collect and categorize a range of descriptive characteristics of each discrete TMOUD model identified from the obtained articles. RESULTS A total of 45 articles met the inclusion criteria, and from this, 40 discrete TMOUD services were identified. In total, 33 services were US-based, three from Canada, and one each from India, Ireland, the UK, and Norway. Through a detailed analysis of TMOUD service characteristics, four models of care were identified. These were TMOUD to facilitate inclusion health, to facilitate transitions in care, to meet complex healthcare needs, and to maintain opioid use disorder (OUD) service resilience. CONCLUSIONS Characterizing TMOUD according to its functional benefits to PWOUD and OUD services will help support evidence-based policy and practice. Additionally, particular attention is given to how digital exclusion of PWOUD can be mitigated against.
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Affiliation(s)
- Joseph Tay Wee Teck
- DigitAS Project, Population and Behavioural Science, School of Medicine, University of St Andrews, St Andrews, UK
- Forward Leeds and Humankind Charity, Durham, UK
| | - Jenna L Butner
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Alex Baldacchino
- DigitAS Project, Population and Behavioural Science, School of Medicine, University of St Andrews, St Andrews, UK
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Austin AE, Tang L, Kim JY, Allen L, Barnes AJ, Chang CCH, Clark S, Cole ES, Durrance CP, Donohue JM, Gordon AJ, Huskamp HA, McDuffie MJ, Mehrotra A, Mohamoud S, Talbert J, Ahrens KA, Applegate M, Hammerslag LR, Lanier P, Tossone K, Zivin K, Burns ME. Trends in Use of Medication to Treat Opioid Use Disorder During the COVID-19 Pandemic in 10 State Medicaid Programs. JAMA HEALTH FORUM 2023; 4:e231422. [PMID: 37327009 PMCID: PMC10276306 DOI: 10.1001/jamahealthforum.2023.1422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 03/29/2023] [Indexed: 06/17/2023] Open
Abstract
Importance Federal and state agencies granted temporary regulatory waivers to prevent disruptions in access to medication for opioid use disorder (MOUD) during the COVID-19 pandemic, including expanding access to telehealth for MOUD. Little is known about changes in MOUD receipt and initiation among Medicaid enrollees during the pandemic. Objectives To examine changes in receipt of any MOUD, initiation of MOUD (in-person vs telehealth), and the proportion of days covered (PDC) with MOUD after initiation from before to after declaration of the COVID-19 public health emergency (PHE). Design, Setting, and Participants This serial cross-sectional study included Medicaid enrollees aged 18 to 64 years in 10 states from May 2019 through December 2020. Analyses were conducted from January through March 2022. Exposures Ten months before the COVID-19 PHE (May 2019 through February 2020) vs 10 months after the PHE was declared (March through December 2020). Main Outcomes and Measures Primary outcomes included receipt of any MOUD and outpatient initiation of MOUD via prescriptions and office- or facility-based administrations. Secondary outcomes included in-person vs telehealth MOUD initiation and PDC with MOUD after initiation. Results Among a total of 8 167 497 Medicaid enrollees before the PHE and 8 181 144 after the PHE, 58.6% were female in both periods and most enrollees were aged 21 to 34 years (40.1% before the PHE; 40.7% after the PHE). Monthly rates of MOUD initiation, representing 7% to 10% of all MOUD receipt, decreased immediately after the PHE primarily due to reductions in in-person initiations (from 231.3 per 100 000 enrollees in March 2020 to 171.8 per 100 000 enrollees in April 2020) that were partially offset by increases in telehealth initiations (from 5.6 per 100 000 enrollees in March 2020 to 21.1 per 100 000 enrollees in April 2020). Mean monthly PDC with MOUD in the 90 days after initiation decreased after the PHE (from 64.5% in March 2020 to 59.5% in September 2020). In adjusted analyses, there was no immediate change (odds ratio [OR], 1.01; 95% CI, 1.00-1.01) or change in the trend (OR, 1.00; 95% CI, 1.00-1.01) in the likelihood of receipt of any MOUD after the PHE compared with before the PHE. There was an immediate decrease in the likelihood of outpatient MOUD initiation (OR, 0.90; 95% CI, 0.85-0.96) and no change in the trend in the likelihood of outpatient MOUD initiation (OR, 0.99; 95% CI, 0.98-1.00) after the PHE compared with before the PHE. Conclusions and Relevance In this cross-sectional study of Medicaid enrollees, the likelihood of receipt of any MOUD was stable from May 2019 through December 2020 despite concerns about potential COVID-19 pandemic-related disruptions in care. However, immediately after the PHE was declared, there was a reduction in overall MOUD initiations, including a reduction in in-person MOUD initiations that was only partially offset by increased use of telehealth.
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Affiliation(s)
- Anna E. Austin
- Department of Maternal and Child Health, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill
- Injury Prevention Research Center, The University of North Carolina at Chapel Hill
| | - Lu Tang
- Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Joo Yeon Kim
- Department of Health Policy and Management, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Lindsay Allen
- Department of Emergency Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Andrew J. Barnes
- Department of Health Behavior and Policy, Virginia Commonwealth University, Richmond
| | - Chung-Chou H. Chang
- Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Sarah Clark
- Department of Pediatrics, Michigan Medicine, University of Michigan, Ann Arbor
| | - Evan S. Cole
- Department of Health Policy and Management, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Julie M. Donohue
- Department of Health Policy and Management, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Adam J. Gordon
- Department of Internal Medicine, University of Utah, Salt Lake City
| | - Haiden A. Huskamp
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Mary Joan McDuffie
- Center for Community Research and Service, Joseph R. Biden, Jr. School of Public Policy and Administration, University of Delaware, Newark
| | - Ateev Mehrotra
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Shamis Mohamoud
- The Hilltop Institute, University of Maryland, Baltimore County, Baltimore
| | - Jeffery Talbert
- Institute for Biomedical Informatics, University of Kentucky, Lexington
| | - Katherine A. Ahrens
- Public Health Program, Muskie School of Public Service, University of Southern Maine, Portland
| | | | | | - Paul Lanier
- School of Social Work, The University of North Carolina at Chapel Hill
| | - Krystel Tossone
- The Ohio Colleges of Medicine, Government Resource Center, College of Medicine, The Ohio State University, Columbus
| | - Kara Zivin
- Department of Psychiatry, Michigan Medicine, University of Michigan, Ann Arbor
| | - Marguerite E. Burns
- Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison
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Sistad RE, Enggasser J, Livingston NA, Brief D. Comparing substance use treatment initiation and retention between telehealth delivered during COVID-19 and in-person treatment pre-COVID-19. Am J Addict 2023; 32:301-308. [PMID: 36645267 DOI: 10.1111/ajad.13385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/19/2022] [Accepted: 12/24/2022] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND AND OBJECTIVES A large portion of veterans referred to substance use disorder (SUD) treatment do not attend their first appointment or leave treatment prematurely. Telehealth options may increase access to care and treatment attendance. This study compared treatment initiation and retention between in-person treatment pre-COVID-19 and telehealth treatment during COVID-19 in a VA hospital outpatient alcohol and drug treatment clinic. METHODS Electronic health record data were collected on 373 veterans out of 481 referrals. Mixed logistic and negative binomial regression models were used for estimating the effect of treatment modality on treatment initiation and retention, respectively. RESULTS The odds of initiating treatment were 2.6 times greater when referred to a telehealth appointment during COVID-19 compared to an in-person appointment pre-COVID-19. Months retained in treatment postinitiation was similar between treatment modalities. Each month in treatment corresponded to a subsequently lower rate of treatment session attendance and by the fourth month, the average number of sessions attended was significantly lower for those receiving in-person treatment compared to those receiving telehealth treatment. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE The odds of initiating SUD treatment and rate of treatment attendance over time was greater for services delivered via telehealth during COVID-19 compared to in-person pre-COVID-19. Extending telehealth services as an option for individual and group SUD treatment may promote treatment initiation and potentially higher rate of attendance over time. This study provides additional evidence for the feasibility and utility of rapidly expanding telehealth for veterans seeking outpatient substance use treatment.
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Affiliation(s)
- Rebecca E Sistad
- U.S. Department of Veteran Affairs, VA Boston Healthcare System, Boston, Massachusetts, USA.,Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Massachusetts, Boston, USA
| | - Justin Enggasser
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Massachusetts, Boston, USA.,Pear Therapeutics, Boston, Massachusetts, USA
| | - Nicholas A Livingston
- U.S. Department of Veteran Affairs, VA Boston Healthcare System, Boston, Massachusetts, USA.,Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Massachusetts, Boston, USA.,Behavioral Science Division, National Center for PTSD, Massachusetts, Boston, USA
| | - Deborah Brief
- U.S. Department of Veteran Affairs, VA Boston Healthcare System, Boston, Massachusetts, USA.,Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Massachusetts, Boston, USA
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Tanz LJ, Jones CM, Davis NL, Compton WM, Baldwin GT, Han B, Volkow ND. Trends and Characteristics of Buprenorphine-Involved Overdose Deaths Prior to and During the COVID-19 Pandemic. JAMA Netw Open 2023; 6:e2251856. [PMID: 36662523 PMCID: PMC9860517 DOI: 10.1001/jamanetworkopen.2022.51856] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 11/29/2022] [Indexed: 01/21/2023] Open
Abstract
Importance Buprenorphine remains underused in treating opioid use disorder, despite its effectiveness. During the onset of the COVID-19 pandemic, the US government implemented prescribing flexibilities to support continued access. Objective To determine whether buprenorphine-involved overdose deaths changed after implementing these policy changes and highlight characteristics and circumstances of these deaths. Design, Setting, and Participants This cross-sectional study used data from the State Unintentional Drug Overdose Reporting System (SUDORS) to assess overdose deaths in 46 states and the District of Columbia occurring July 2019 to June 2021. Data were analyzed from March 7, 2022, to June 30, 2022. Main Outcomes and Measures Buprenorphine-involved and other opioid-involved overdose deaths were examined. Monthly opioid-involved overdose deaths and the percentage involving buprenorphine were computed to assess trends. Proportions and exact 95% CIs of drug coinvolvement, demographics, and circumstances were calculated by group. Results During July 2019 to June 2021, 32 jurisdictions reported 89 111 total overdose deaths and 74 474 opioid-involved overdose deaths, including 1955 buprenorphine-involved overdose deaths, accounting for 2.2% of all drug overdose deaths and 2.6% of opioid-involved overdose deaths. Median (IQR) age was similar for buprenorphine-involved overdose deaths (41 [34-55] years) and other opioid-involved overdose deaths (40 [31-52] years). A higher proportion of buprenorphine-involved overdose decedents, compared with other opioid-involved decedents, were female (36.1% [95% CI, 34.2%-38.2%] vs 29.1% [95% CI, 28.8%-29.4%]), non-Hispanic White (86.1% [95% CI, 84.6%-87.6%] vs 69.4% [95% CI, 69.1%-69.7%]), and residing in rural areas (20.8% [95% CI, 19.1%-22.5%] vs 11.4% [95% CI, 11.2%-11.7%]). Although monthly opioid-involved overdose deaths increased, the proportion involving buprenorphine fluctuated but did not increase during July 2019 to June 2021. Nearly all (92.7% [95% CI, 91.5%-93.7%]) buprenorphine-involved overdose deaths involved at least 1 other drug; higher proportions involved other prescription medications compared with other opioid-involved overdose deaths (eg, anticonvulsants: 18.6% [95% CI, 17.0%-20.3%] vs 5.4% [95% CI, 5.2%-5.5%]) and a lower proportion involved illicitly manufactured fentanyls (50.2% [95% CI, 48.1%-52.3%] vs 85.3% [95% CI, 85.1%-85.5%]). Buprenorphine decedents were more likely to be receiving mental health treatment than other opioid-involved overdose decedents (31.4% [95% CI, 29.3%-33.5%] vs 13.3% [95% CI, 13.1%-13.6%]). Conclusions and Relevance The findings of this cross-sectional study suggest that actions to facilitate access to buprenorphine-based treatment for opioid use disorder during the COVID-19 pandemic were not associated with an increased proportion of overdose deaths involving buprenorphine. Efforts are needed to expand more equitable and culturally competent access to and provision of buprenorphine-based treatment.
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Affiliation(s)
- Lauren J. Tanz
- National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Christopher M. Jones
- National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Nicole L. Davis
- National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Wilson M. Compton
- National Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland
| | - Grant T. Baldwin
- National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Beth Han
- National Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland
| | - Nora D. Volkow
- National Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland
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Teck JTW, Zlatkute G, Perez A, Dritschel H, Ghosh A, Potenza MN, Ambekar A, Ekhtiari H, Stein D, Khazaal Y, Arunogiri S, Torrens M, Ferri M, Galea-Singer S, Baldacchino A. Key implementation factors in telemedicine-delivered medications for opioid use disorder: a scoping review informed by normalisation process theory. Lancet Psychiatry 2023; 10:50-64. [PMID: 36526346 DOI: 10.1016/s2215-0366(22)00374-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 10/24/2022] [Accepted: 10/27/2022] [Indexed: 12/23/2022]
Abstract
Telemedicine could improve access to medications for opioid use disorder (MOUD). Telemedicine-delivered MOUD (TMOUD) has expanded substantially in response to the restrictions imposed by the COVID-19 pandemic on in-person clinical contact, yet this expansion has not happened consistently across all health systems and countries. This Review aims to understand key factors in TMOUD implementation that might explain variations in uptake. We did a scoping review using three English language databases for articles reporting on the implementation of TMOUD services. 57 peer-reviewed articles were identified, subjected to open coding and thematic analysis, and further interpreted through normalisation process theory (NPT). NPT was originally used to evaluate telehealth innovations and has been applied extensively to describe, assess, and develop the implementation potential of a broad range of complex health-care interventions. By categorising our findings according to the four core NPT constructs of coherence, cognitive participation, collective action, and reflexive monitoring, we aim to rationalise the current evidence base to show the workability of TMOUD in practice. We find that variations in TMOUD models in practice depend on organisations' attitudes towards risk, clinicians' tensions around giving up control over standard practices, organisation-level support in overcoming operational and technological challenges, and evaluation methods that might neglect a potential widening of the digital divide.
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Affiliation(s)
- Joseph Tay Wee Teck
- DigitAS Project, Population and Behavioural Science, School of Medicine, University of St Andrews, St Andrews, UK; Forward Leeds and Humankind Charity, Durham, UK.
| | - Giedre Zlatkute
- DigitAS Project, Population and Behavioural Science, School of Medicine, University of St Andrews, St Andrews, UK
| | - Alberto Perez
- DigitAS Project, Population and Behavioural Science, School of Medicine, University of St Andrews, St Andrews, UK
| | - Heidi Dritschel
- DigitAS Project, Population and Behavioural Science, School of Medicine, University of St Andrews, St Andrews, UK
| | - Abhishek Ghosh
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Marc N Potenza
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA; the Child Study Center, Yale School of Medicine, New Haven, CT, USA
| | - Atul Ambekar
- National Drug Dependence Treatment Centre, All India Institute of Medical Sciences, New Delhi, India
| | | | - Dan Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Yasser Khazaal
- Addiction Medicine, Lausanne University Hospital, Lausanne, Switzerland; Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland; Research Center, Institute of Mental Health, Montréal University, Montréal, QC, Canada
| | - Shalini Arunogiri
- Monash Addiction Research Centre, Eastern Health Clinical School, Melbourne, VIC, Australia
| | - Marta Torrens
- School of Medicine, Universitat de Vic-Universitat Central de Catalunya (UVIC-UCC), Barcelona, Spain
| | - Marica Ferri
- European Monitoring Centre for Drugs and Drug Addiction, Lisbon, Portugal
| | - Susanna Galea-Singer
- DigitAS Project, Population and Behavioural Science, School of Medicine, University of St Andrews, St Andrews, UK; NHS Fife Addiction Services, Leven, UK
| | - Alex Baldacchino
- DigitAS Project, Population and Behavioural Science, School of Medicine, University of St Andrews, St Andrews, UK
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