Recognizing Consequences of Your Substance Use

2019 ◽  
pp. 19-22
Author(s):  
Dennis C. Daley ◽  
Antoine Douaihy
Keyword(s):  
Substance Use ◽  
Substance Use Disorders ◽  
Substance Use Disorder ◽  
Economic Problems ◽  
The People ◽  
Life Threatening

Substance use can contribute directly and indirectly to problems in any area of life. Substance use disorders raise the risk of medical, spiritual, psychological, psychiatric, family, and economic problems. Problems may range in severity from mild to life-threatening. Sometimes the effects are subtle or hidden. The goals of this chapter are for the client to understand the consequences of their substance use and its effect on the people closest to them and to identify problems caused by the client’s substance use disorder.

scholarly journals Co -occurring Mental Disorders among In-patients in a Substance use Disorder Treatment Center in Plateau State, Nigeria

2020 ◽  
Vol 3 (1) ◽  
pp. 223-229
Author(s):  
D M Makput
Keyword(s):  
Substance Use ◽  
Drug Abuse ◽  
Mental Disorders ◽  
Substance Use Disorders ◽  
Substance Use Disorder ◽  
Addiction Treatment ◽  
Treatment Center ◽  
Post Traumatic Stress ◽  
Functional Abnormality ◽  
Plateau State

Patients with psychoactive substance use disorders (SUD) often have co- occurring medical and mental disorders. This occurs as a result of a number of factors, for instance, drug abuse may facilitate the full expression of a latent psychiatric disorder; mental disorder may lead to SUD (drugs used for self- medication; or both SUD and mental disorders are caused by the same underlying brain deficit such as genetic vulnerability, neurotransmitter abnormality, structural or functional abnormality, and so on. After obtaining ethical clearance, the case notes of all patients who were admitted in the Centre for Addiction Treatment and Research, (CATR) Vom, Plateau state throughout the first quarter of year 2019 were traced. A systematic random sample of every third consecutive patient was selected beginning with the first patient admitted and relevant data were collected and analyzed. A total of fourty- eight (48) in-patients were analyzed. Ninety -four percent (94%) of the patients were males, the mean age of 23.6 + 5 years with 46% being below 25 years of age. Fourty-six percent (46%) had cannabis as their primary drug followed by alcohol (32%) and opioids (28%). Only 1 % had a history of injecting drug use. Twenty-nine percent (29%) of the SUD patients had co-occurring depression, nine percent (8%) had anxiety disorder, and five percent (4%) had Post Traumatic Stress Disorder (PTSD) in addition to their substance use disorder. In line with sustainable development goals (SDG) goal 3.5 which seeks to “strengthen prevention and treatment of substance abuse including narcotics drug abuse and harmful use of alcohol”; identifying co-occurring mental disorders among patients with substance use disorders is one way of moving closer towards achieving this SDG.

scholarly journals Recovery-informed Theory: Situating the Subjective in the Science of Substance Use Disorder Recovery

2019 ◽  
Vol 1 (3) ◽  
pp. 1-15 ◽  
Author(s):  
Austin M Brown ◽  
Robert D Ashford
Keyword(s):  
Substance Use ◽  
Substance Use Disorders ◽  
Substance Use Disorder ◽  
Systems Of Care ◽  
Grand Theory ◽  
Recovery Strategies ◽  
Recovery Capital ◽  
New Ideas

As recovery from substance use disorder becomes more than a mere quantifiable outcome, there exists a need to discuss and propose the underlying theoretical constructs that ultimately describe and identify the science of recovery. In this abstract undertaking, we propose an initial formulation of a grand theory of recovery science, built upon the seminal theories of recovery capital, recovery-oriented systems of care, and socioecological theory. This grand theory - labeled recovery-informed theory (RIT) - states that successful long-term recovery is self-evident and is a fundamentally emancipatory set of processes. This paper will discuss, analyze, and explore this theory as it is situated within the larger substance use, misuse, and disorder contexts. The uses, implications, and benefits of RIT as an organizing point of inquiry for recovery science are also discussed. By promoting the role of subjective recovery experience in the formulation of the study of recovery, it may be possible to summon new ideas, metrics, and strategies that can directly address substance use disorders in society. Adopting a recovery-informed understanding as follows from this grand theory may allow individual recovery and wellness trajectories to be explored, adapted, and modified to exemplify person-centered and individualized recovery strategies.

Substance Use Disorders

2018 ◽  
Author(s):  
F Gerard Moeller
Keyword(s):  
Substance Use ◽  
Substance Use Disorders ◽  
Channel Blockers ◽  
Medical Problems ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Life Threatening ◽  
History Of ◽  
Abused Drugs ◽  
Nmda Receptor Channel

There is a consistent body of evidence showing that substance abuse and dependence can worsen preexisting medical conditions, can temporarily mimic medical and psychiatric disorders, and can themselves cause medical problems, including life-threatening overdose. Substance use disorders are common in young and middle-aged persons: the lifetime prevalence of these syndromes, including alcoholism, is over 20% for men and about 15% for women. This chapter discusses dependence, abuse, substance use disorder, and substance-induced disorders involving depressants, stimulants, opioids, cannabinoids, hallucinogens, N-methyl-D-aspartate (NMDA) receptor channel blockers, and inhalants. Epidemiology, etiology, pathophysiology, diagnosis (including clinical assessment and laboratory tests), and treatment are reviewed. Treatment of intoxication, overdose, withdrawal, and rehabilitation is discussed. A figure illustrates the neurocircuitry of addiction. Tables describe the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) diagnostic criteria for abuse and dependence; frequently misused drugs; neural effects of commonly abused drugs; the natural history of drug dependence; conditions affecting the outcome of urinary drug tests; and pharmacologic options for treatment of drug overdose. This chapter contains 1 figure , 6 tables and 112 references

Outline of This Treatment Program

2014 ◽  
pp. 25-42
Author(s):  
Sudie E. Back ◽  
Edna B. Foa ◽  
Therese K. Killeen ◽  
Katherine L. Mills ◽  
Maree Teesson ◽  
...  
Keyword(s):  
Substance Use ◽  
Substance Use Disorders ◽  
Substance Use Disorder ◽  
Treatment Program ◽  
Post Traumatic Stress Disorder ◽  
Traumatic Stress ◽  
Post Traumatic Stress ◽  
Post Traumatic ◽  
Focus Questions

This chapter provides the therapist with an outline of the COPE treatment and components of each session (e.g. check-in, review homework, post-traumatic stress disorder [PTSD] focus, substance use disorder focus). Questions regarding who can deliver the therapy are addressed, as well as questions regarding the role of medications. Finally, special considerations for delivering treatment to patients with PTSD and comorbid substance use disorders are reviewed for the therapist.

Recognizing Your Substance Use Problem

2019 ◽  
pp. 13-18
Author(s):  
Dennis C. Daley ◽  
Antoine Douaihy
Keyword(s):  
Substance Use ◽  
Substance Use Disorders ◽  
Substance Use Disorder ◽  
American Psychiatric Association ◽  
Substance Related Disorders

The American Psychiatric Association classifies substance-related disorders into several categories. These include intoxication, withdrawal, substance use disorder, and substance-induced disorder. The goals of this chapter are to understand the different categories and symptoms of substance use disorders and to rate the overall severity of the client’s substance use problem.

Programming

2015 ◽  
Author(s):  
Patrece Hairston ◽  
Ingrid A. Binswanger
Keyword(s):  
Substance Use ◽  
Criminal Justice ◽  
Substance Use Disorders ◽  
Substance Use Disorder ◽  
Behavioral Interventions ◽  
The United States ◽  
Evidence Based ◽  
Mutual Aid ◽  
Criminal Justice Involvement ◽  
Federal Prisons

The nexus of substance use disorders and criminal justice involvement is considerable. This is particularly the case in the United States, where 48% of individuals in federal prisons were incarcerated for drug-related convictions in 2011. In the last year for which national data are available, approximately half of the individuals incarcerated in state and federal prisons met criteria for drug abuse or dependence. Tobacco and alcohol use are also more common in correctional populations than in the general, non-institutionalized population. Thus, criminal justice populations have a significant need for evidence-based treatment of addiction and interventions to reduce the medical complications of drug use. While many programs to address substance use disorder among correctional populations exist, many individuals fail to receive adequate care and continue to experience complications of substance use disorders. Thus, correctional clinicians and staff, researchers, and patients will need to continue to advocate for improved and enhanced dissemination of integrated, evidence-based behavioral and pharmacological treatment for substance use disorder across the continuum of criminal justice involvement. This chapter describes the evolution of addiction programming within correctional settings from the late 1700s to contemporary practices. Beginning with a discussion of mutual aid societies as one of the earliest providers of ‘treatment,’ this chapter outlines important aspects of early treatment. Additionally, current levels of care and specialized modalities for individuals involved in the criminal justice system are presented, such as cognitive-behavioral interventions, drug courts, therapeutic communities, pharmacologically supported therapy, and harm reduction approaches.

scholarly journals Co -occurring Mental Disorders among In-patients in a Substance use Disorder Treatment Center in Plateau State, Nigeria

2020 ◽  
Vol 3 (1) ◽  
pp. 223-229
Author(s):  
D M Makput
Keyword(s):  
Substance Use ◽  
Drug Abuse ◽  
Mental Disorders ◽  
Substance Use Disorders ◽  
Substance Use Disorder ◽  
Addiction Treatment ◽  
Treatment Center ◽  
Post Traumatic Stress ◽  
Functional Abnormality ◽  
Plateau State

Patients with psychoactive substance use disorders (SUD) often have co- occurring medical and mental disorders. This occurs as a result of a number of factors, for instance, drug abuse may facilitate the full expression of a latent psychiatric disorder; mental disorder may lead to SUD (drugs used for self- medication; or both SUD and mental disorders are caused by the same underlying brain deficit such as genetic vulnerability, neurotransmitter abnormality, structural or functional abnormality, and so on. After obtaining ethical clearance, the case notes of all patients who were admitted in the Centre for Addiction Treatment and Research, (CATR) Vom, Plateau state throughout the first quarter of year 2019 were traced. A systematic random sample of every third consecutive patient was selected beginning with the first patient admitted and relevant data were collected and analyzed. A total of fourty- eight (48) in-patients were analyzed. Ninety -four percent (94%) of the patients were males, the mean age of 23.6 + 5 years with 46% being below 25 years of age. Fourty-six percent (46%) had cannabis as their primary drug followed by alcohol (32%) and opioids (28%). Only 1 % had a history of injecting drug use. Twenty-nine percent (29%) of the SUD patients had co-occurring depression, nine percent (8%) had anxiety disorder, and five percent (4%) had Post Traumatic Stress Disorder (PTSD) in addition to their substance use disorder. In line with sustainable development goals (SDG) goal 3.5 which seeks to “strengthen prevention and treatment of substance abuse including narcotics drug abuse and harmful use of alcohol”; identifying co-occurring mental disorders among patients with substance use disorders is one way of moving closer towards achieving this SDG.

scholarly journals Technological Interventions for Medication Adherence in Adult Mental Health and Substance Use Disorders: A Systematic Review

10.2196/12493 ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. e12493 ◽  
Author(s):  
Jackson M Steinkamp ◽  
Nathaniel Goldblatt ◽  
Jacob T Borodovsky ◽  
Amy LaVertu ◽  
Ian M Kronish ◽  
...  
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Substance Use ◽  
Medication Adherence ◽  
Mobile Phone ◽  
Substance Use Disorders ◽  
Substance Use Disorder ◽  
Intervention Component ◽  
Taxonomic Framework ◽  
Multicomponent Interventions

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.

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