Substance Use Disorders and Adoption Status: Implications for Counseling Practice

2020 ◽  
pp. 106648072095663
Author(s):  
Susan F. Branco ◽  
Connie T. Jones ◽  
Sanna Stella

Adopted persons are at a higher risk to receive mental health and substance use treatment (Behle & Pinquart, 2016; Brodzinsky, 2013) and are also at a higher risk for a lifetime prevalence of substance use disorder (Kendler et al., 2012; Yoon et al., 2012). Despite the known risks for adopted persons, there remains a gap in counselor awareness and knowledge of the unique counseling needs of adopted persons and their families seeking substance use counseling (Atkinson et al., 2013; Brodzinsky, 2013; Lancaster et al., 2017). Therefore, we provide an overview of the related substance use research, describe the counseling needs of adopted persons and their families, and offer practice implications.

10.2196/12493 ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. e12493 ◽  
Author(s):  
Jackson M Steinkamp ◽  
Nathaniel Goldblatt ◽  
Jacob T Borodovsky ◽  
Amy LaVertu ◽  
Ian M Kronish ◽  
...  

Background Medication adherence is critical to the effectiveness of psychopharmacologic therapy. Psychiatric disorders present special adherence considerations, notably an altered capacity for decision making and the increased street value of controlled substances. A wide range of interventions designed to improve adherence in mental health and substance use disorders have been studied; recently, many have incorporated information technology (eg, mobile phone apps, electronic pill dispensers, and telehealth). Many intervention components have been studied across different disorders. Furthermore, many interventions incorporate multiple components, making it difficult to evaluate the effect of individual components in isolation. Objective The aim of this study was to conduct a systematic scoping review to develop a literature-driven, transdiagnostic taxonomic framework of technology-based medication adherence intervention and measurement components used in mental health and substance use disorders. Methods This review was conducted based on a published protocol (PROSPERO: CRD42018067902) in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses systematic review guidelines. We searched 7 electronic databases: MEDLINE, EMBASE, PsycINFO, the Cochrane Central Register of Controlled Trials, Web of Science, Engineering Village, and ClinicalTrials.gov from January 2000 to September 2018. Overall, 2 reviewers independently conducted title and abstract screens, full-text screens, and data extraction. We included all studies that evaluate populations or individuals with a mental health or substance use disorder and contain at least 1 technology-delivered component (eg, website, mobile phone app, biosensor, or algorithm) designed to improve medication adherence or the measurement thereof. Given the wide variety of studied interventions, populations, and outcomes, we did not conduct a risk of bias assessment or quantitative meta-analysis. We developed a taxonomic framework for intervention classification and applied it to multicomponent interventions across mental health disorders. Results The initial search identified 21,749 results; after screening, 127 included studies remained (Cohen kappa: 0.8, 95% CI 0.72-0.87). Major intervention component categories include reminders, support messages, social support engagement, care team contact capabilities, data feedback, psychoeducation, adherence-based psychotherapy, remote care delivery, secure medication storage, and contingency management. Adherence measurement components include self-reports, remote direct visualization, fully automated computer vision algorithms, biosensors, smart pill bottles, ingestible sensors, pill counts, and utilization measures. Intervention modalities include short messaging service, mobile phone apps, websites, and interactive voice response. We provide graphical representations of intervention component categories and an element-wise breakdown of multicomponent interventions. Conclusions Many technology-based medication adherence and monitoring interventions have been studied across psychiatric disease contexts. Interventions that are useful in one psychiatric disorder may be useful in other disorders, and further research is necessary to elucidate the specific effects of individual intervention components. Our framework is directly developed from the substance use disorder and mental health treatment literature and allows for transdiagnostic comparisons and an organized conceptual mapping of interventions.


2008 ◽  
Vol 192 (2) ◽  
pp. 112-117 ◽  
Author(s):  
Dan J. Stein ◽  
Soraya Seedat ◽  
Allen Herman ◽  
Hashim Moomal ◽  
Steven G. Heeringa ◽  
...  

BackgroundData on the lifetime prevalence of psychiatric disorders in South Africa are of interest, not only for the purposes of developing evidence-based mental health policy, but also in view of South Africa's particular historical and demographic circumstances.MethodA nationally representative household survey was conducted between 2002 and 2004 using the World Health Organization Composite International Diagnostic Interview (CIDI) to generate diagnoses. The data-set analysed included 4351 adult South Africans of all ethnic groups.ResultsLifetime prevalence of DSM–IV/CIDI disorders was determined for anxiety disorders (15.8%), mood disorders (9.8%), substance use disorders (13.4%) and any disorder (30.3%). Lifetime prevalence of substance use disorders differed significantly across ethnic groups. Median age at onset was earlier for substance use disorders (21 years) than for anxiety disorders (32 years) or mood disorders (37 years).ConclusionsIn comparison with data from other countries, South Africa has a particularly high lifetime prevalence of substance use disorders. These disorders have an early age at onset, providing an important target for the planning of local mental health services.


Author(s):  
Jackson M Steinkamp ◽  
Nathaniel Goldblatt ◽  
Jacob T Borodovsky ◽  
Amy LaVertu ◽  
Ian M Kronish ◽  
...  

BACKGROUND Medication adherence is critical to the effectiveness of psychopharmacologic therapy. Psychiatric disorders present special adherence considerations, notably an altered capacity for decision making and the increased street value of controlled substances. A wide range of interventions designed to improve adherence in mental health and substance use disorders have been studied; recently, many have incorporated information technology (eg, mobile phone apps, electronic pill dispensers, and telehealth). Many intervention components have been studied across different disorders. Furthermore, many interventions incorporate multiple components, making it difficult to evaluate the effect of individual components in isolation. OBJECTIVE The aim of this study was to conduct a systematic scoping review to develop a literature-driven, transdiagnostic taxonomic framework of technology-based medication adherence intervention and measurement components used in mental health and substance use disorders. METHODS This review was conducted based on a published protocol (PROSPERO: CRD42018067902) in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses systematic review guidelines. We searched 7 electronic databases: MEDLINE, EMBASE, PsycINFO, the Cochrane Central Register of Controlled Trials, Web of Science, Engineering Village, and ClinicalTrials.gov from January 2000 to September 2018. Overall, 2 reviewers independently conducted title and abstract screens, full-text screens, and data extraction. We included all studies that evaluate populations or individuals with a mental health or substance use disorder and contain at least 1 technology-delivered component (eg, website, mobile phone app, biosensor, or algorithm) designed to improve medication adherence or the measurement thereof. Given the wide variety of studied interventions, populations, and outcomes, we did not conduct a risk of bias assessment or quantitative meta-analysis. We developed a taxonomic framework for intervention classification and applied it to multicomponent interventions across mental health disorders. RESULTS The initial search identified 21,749 results; after screening, 127 included studies remained (Cohen kappa: 0.8, 95% CI 0.72-0.87). Major intervention component categories include reminders, support messages, social support engagement, care team contact capabilities, data feedback, psychoeducation, adherence-based psychotherapy, remote care delivery, secure medication storage, and contingency management. Adherence measurement components include self-reports, remote direct visualization, fully automated computer vision algorithms, biosensors, smart pill bottles, ingestible sensors, pill counts, and utilization measures. Intervention modalities include short messaging service, mobile phone apps, websites, and interactive voice response. We provide graphical representations of intervention component categories and an element-wise breakdown of multicomponent interventions. CONCLUSIONS Many technology-based medication adherence and monitoring interventions have been studied across psychiatric disease contexts. Interventions that are useful in one psychiatric disorder may be useful in other disorders, and further research is necessary to elucidate the specific effects of individual intervention components. Our framework is directly developed from the substance use disorder and mental health treatment literature and allows for transdiagnostic comparisons and an organized conceptual mapping of interventions.


2021 ◽  
Author(s):  
Marja Leonhardt ◽  
Morten Brodahl ◽  
Nicola Cogan ◽  
Lars Lien

Abstract Background: The outbreak of COVID-19 with its severe social restrictions touched the daily life of most people. While everyday social life becomes difficult for citizens with economic and cultural capital, it becomes even worse for vulnerable groups such as persons with mental health and substance use disorders, who are particularly vulnerable to social exclusion. The aim of this study is to investigate how the first COVID-19 lockdown affected the everyday life and health of persons with co-occurring mental health and substance use disorders.Methods: This qualitative study reports data from 17 individual interviews and one focus group of five participants, all with a self-reported mental health and substance use disorder. Interviews were conducted based on a semi-structured interview guide in September and October 2020 in a medium-sized local authority in Norway. Data were analysed using thematic analysis. A reference group of people with varied knowledge and experiences of the phenomenon were involved in study design, recruitment, data generation and analysis.Results: The analysis identified four interrelated main themes, describing how the first lockdown affected the everyday life and health of persons suffering from a mental health and substance use disorder: 1) The COVID-19 outbreak as a perceived challenge, 2) A decline in mental health and well-being, 3) Increased substance use challenges, and 4) Diverse experiences with health and social services. The results show that people with a co-occurring disorder have challenges with digital tools and/or do not have the appropriate equipment. Further, participants were not concerned about becoming infected themselves, but infecting others.Conclusion:Persons with a mental health and substance use disorder face major challenges during the COVID-19 pandemic. There is a need to maintain continuous low-threshold services especially directed towards persons with co-occurring disorders during the pandemic. Furthermore, it is important to improve the digital skills of every service user or offer alternatives to digital consultations and meetings.


2011 ◽  
Vol 45 (11) ◽  
pp. 957-967 ◽  
Author(s):  
Peter M. McEvoy ◽  
Rachel Grove ◽  
Tim Slade

Objective: The aims of this study were to report 12-month and lifetime prevalence for anxiety disorders in the Australian general population, identify sociodemographic and clinical correlates of anxiety disorders, and report the rates of comorbidity among anxiety, affective, and substance use disorders across the lifespan. Method: The 2007 National Survey of Mental Health and Wellbeing was a nationally representative, face-to-face household survey of 8841 (60% response rate) community residents aged between 16 and 85 years. Diagnoses for anxiety, affective and substance use disorders were made according to the DSM-IV using the World Mental Health Survey Initiative version of the Composite International Diagnostic Interview. Results: 12-month and lifetime prevalence of anxiety disorders were 11.8% and 20.0%, respectively. Anxiety disorders had a similar median age of onset (19 years) compared to substance use disorders (20 years), but earlier than affective disorders (34 years). Social phobia was the earliest onset anxiety disorder (median 13 years), with generalized anxiety disorder the latest (median 33 years). Significant correlates of the presence of anxiety disorders included being female, single, not in the labour force, in the middle age groups, not having post-graduate qualifications, having a comorbid physical condition, and having a family history of mental disorders. Being in the oldest age ranges and being born in another non-English speaking country were associated with lower odds of having an anxiety disorder. Body mass index was not associated with the presence of an anxiety disorder. Anxiety disorders were highly comorbid, particularly with major depression, dysthymia, and alcohol dependence. Comorbidity with substance use disorders reduced with age. Comorbidity with affective disorders was high across the lifespan. Conclusions: Anxiety disorders are common, can have an early onset, and are highly comorbid. Prevention, early detection, and treatment of anxiety disorders should be a priority.


Author(s):  
Elizabeth D. Reese ◽  
Jennifer Y. Yi ◽  
Ryan P. Bell ◽  
Stacey B. Daughters

Negative affect (NA) plays a prominent role in theoretical models characterizing the course of substance use disorders and is thus considered a central mechanism contributing to maintenance of symptoms and increased risk for relapse. This chapter overviews theoretical models of substance use, highlighting the impact of NA within the addiction cycle. In this context, it examines the evidence linking NA to substance use disorder (SUD) development, maintenance, and relapse, highlighting the association between NA and addiction-specific processes including withdrawal and craving. It concludes with a discussion of current substance use treatment approaches that target NA, including promising new pharmacological and neurobiological treatments.


Author(s):  
Kathleen A. Garrison ◽  
Stephanie S. O'Malley ◽  
Judson A. Brewer ◽  
Marc N. Potenza

There are presently more than 1,000 smartphone apps offering mindfulness or meditation in some form, marketed largely to improving one’s health and well-being. At the same time, scientific credibility of most available mindfulness and meditation apps is considered low, and clinical testing of these apps is only in beginning stages. Nevertheless, initial work is under way and suggests that evidence-based mindfulness apps may have clinical benefits for mental health. This chapter reviews the state of the science of mindfulness apps, with a focus on the treatment of substance use disorders. Mindfulness training, in person, has been shown to be effective in the treatment of substance use disorders. Mobile technologies such as smartphone apps offer numerous advantages to delivering mindfulness training, conducting clinical studies, and potentially improving clinical outcomes in substance use treatment over in-person mindfulness training. This chapter outlines the advantages and some possible limitations of delivering mindfulness training via smartphone app, reviews available mindfulness apps for mental health, reviews scientific literature supporting these apps, and proposes areas of focus for further development of mindfulness apps. Findings indicate that mindfulness training is feasible to deliver by smartphone app and other mobile technologies, initial clinical testing of mindfulness apps for substance use treatment is promising, and larger randomized controlled trials are under way. Importantly, more mindfulness apps and trials are utilizing evidence-based clinical practice guidelines.


2017 ◽  
Vol 28 (1) ◽  
pp. 54-65
Author(s):  
F. Charlson ◽  
S. Diminic ◽  
C. Choulamany ◽  
D. Santomauro ◽  
S. Raja ◽  
...  

Aims.An epidemiological survey was conducted to determine the prevalence of the mental and substance use disorders and ascertain patterns of mental health services utilisation in Lao People's Democratic Republic (Lao PDR) with the aim of evaluating existing gaps and opportunities in the provision of mental health services.Methods.This study was a cross-sectional, household survey of adults living within Vientiane Capital province, Lao PDR. We collected data on participant demographics, mental and physical health status, family history of mental illness and exposure to potential risk factors. It also collected data on mental health service utilisation patterns, types of health professionals and treatment being accessed, barriers to treatment and perceived need for care. The MINI International Neuropsychiatric Interview (MINI v.6.0) was also administered to assess mental disorder prevalence.Results.Age- and sex-standardised current prevalence of any disorder was estimated at 15.2% (95% CI 11.0–20.7). Alcohol dependence (5.5% (95% CI 3.2–9.6)), was the most prevalent followed by anxiety disorders (5.2% (95% CI 3.2–8.3)) and mood disorders (2.5% (95% CI 1.5–4.4)). 11.0% (95% CI 5.8–20.1) of participants with a mental and/or substance use disorder suffered from other comorbid disorders. A number of variables demonstrated significant effects in final logistic regression models, including family history, education and employment for mental disorders; and gender, numbers of hours worked per week and number of dependants for substance use disorders. Having a mental or substance use disorder was associated with an OR of 11.6 of suicidality over participants without a mental or substance use disorder (95% CI 2.8–58.5). Of the 101 participants who met criteria for a current mental or substance use disorder, only two (2.1% (95% CI 0.5–8.0)) had accessed services for their mental health in the past 12 months. No participants who had seen a health professional in the past 12 months reported getting as much help as they needed. The vast majority (89.2% (95% CI 76.5–95.4)) of participants meeting criteria for a current mental or substance use disorder reported that they had not experienced mental health problems in the past 12 months.Conclusions.This study presents the first epidemiological estimates for a range of mental and substance use disorders in the general population of the most populous province in Lao PDR. A large treatment gap exists for mental and substance use disorders in Lao PDR. This research adds value for health care and has been an important precursor to developing informed and targeted mental health policy, services and health system reform in Lao PDR.


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