scholarly journals The Prevalence and Correlates of Substance Use Disorders Among Patients of Two Different Treatment Settings in Thailand

2020 ◽  
Author(s):  
Supa Pengpid ◽  
Karl Peltzer
Keyword(s):  
Substance Use ◽  
Logistic Regression ◽  
Drug Use ◽  
Confidence Interval ◽  
Substance Use Disorders ◽  
Substance Use Disorder ◽  
World Health ◽  
Negatively Associated ◽  
Male Sex ◽  
Treatment Settings

Background: Monk healers provide an accessible and popular service in Southeast Asia, but little is known on the substance use status of their clients. This investigation intended to assess and compare the rate and correlates of substance use disorders in two different treatment settings (monk healers=MH and primary health care=PHC) in Thailand. Methods: In a cross-sectional study, 1024 patients (591 of MH and 613 of PHC) responded to screening measures of the “World Health Organization Alcohol, Smoking, and Substance Involvement Screening Test Lite”, and two common mental disorders (major depression and generalized anxiety disorder) from November 2018 to February 2019. Logistic regression was used to estimate the determinants of any substance use disorder in the MH and PHC setting. Results: The prevalence of substance use disorder was higher in MH clients than PHC patients: any substance use disorder 11.7% (95% Confidence Interval-CI: 9.3%-14.5%) vs 5.4% (95% CI: 3.9%-7.5%), tobacco use disorder 7.6% (95% CI: 5.7%-9.9%) vs 2.5% (95% CI: 1.5%-4.0%), alcohol use disorder 10.0% (95% CI: 8.4%-13.6%) vs 4.3% (95% CI: 3.0%-6.3%), any drug use disorder 4.2% (95% CI: 2.8%-6.1%) vs 0.3% (95% CI: 0.08%-1.3%), and any past three months drug use 8.2% (95% CI: 6.2%-10.7%) vs 1.5%, 95% CI: 0.8%-2.8%). In adjusted logistic regression analysis, among MH clients, male sex (Adjusted Odds Ratio-AOR: 9.52, 95% Confidence Interval-CI: 5.06-17.92) was positively, and were married (AOR: 0.32, 95% CI: 0.16-0.61) and high social support (AOR: 0.40, 95% CI: 0.16-0.99) were negatively associated with any substance use disorder. Among PHC patients, male sex (AOR: 7.05, 95% CI: 2.99-16.63) was positively and age (AOR: 0.95, 95% CI: 0.92-0.98) was negatively associated with any substance use disorder. Conclusion: The proportion of substance use disorders among MH attendees was more than twice that of PHC attenders in Thailand, calling for collaboration in controlling substance use disorders between the two treatment systems.

scholarly journals The prevalence and correlates of substance use disorders among patients of two different treatment settings in Thailand

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Supa Pengpid ◽  
Karl Peltzer
Keyword(s):  
Substance Use ◽  
Logistic Regression ◽  
Drug Use ◽  
Confidence Interval ◽  
Substance Use Disorders ◽  
Substance Use Disorder ◽  
World Health ◽  
Negatively Associated ◽  
Male Sex ◽  
Treatment Settings

Abstract Background Monk healers provide an accessible and popular service in Southeast Asia, but little is known on the substance use status of their clients. This investigation intended to assess and compare the rate and correlates of substance use disorders in two different treatment settings (monk healers = MH and primary health care = PHC) in Thailand. Methods In a cross-sectional study, 1024 patients (591 of MH and 613 of PHC) responded to screening measures of the “World Health Organization Alcohol, Smoking, and Substance Involvement Screening Test Lite”, and two common mental disorders (major depression and generalized anxiety disorder) from November 2018 to February 2019. Logistic regression was used to estimate the determinants of any substance use disorder in the MH and PHC setting. Results The prevalence of substance use disorder was higher in MH clients than PHC patients: any substance use disorder 11.7% (95% Confidence Interval-CI: 9.3–14.5%) vs 5.4% (95% CI: 3.9–7.5%), tobacco use disorder 7.6% (95% CI: 5.7–9.9%) vs 2.5% (95% CI: 1.5–4.0%), alcohol use disorder 10.0% (95% CI: 8.4–13.6%) vs 4.3% (95% CI: 3.0–6.3%), any drug use disorder 4.2% (95% CI: 2.8–6.1%) vs 0.3% (95% CI: 0.08–1.3%), and any past three months drug use 8.2% (95% CI: 6.2–10.7%) vs 1.5, 95% CI: 0.8–2.8%). In adjusted logistic regression analysis, among MH clients, male sex (Adjusted Odds Ratio-AOR: 9.52, 95% Confidence Interval-CI: 5.06–17.92) was positively, and were married (AOR: 0.32, 95% CI: 0.16–0.61) and high social support (AOR: 0.40, 95% CI: 0.16–0.99) were negatively associated with any substance use disorder. Among PHC patients, male sex (AOR: 7.05, 95% CI: 2.99–16.63) was positively and age (AOR: 0.95, 95% CI: 0.92–0.98) was negatively associated with any substance use disorder. Conclusion The proportion of substance use disorders among MH attendees was more than twice that of PHC attenders in Thailand, calling for collaboration in controlling substance use disorders between the two treatment systems.

scholarly journals Prevalence and correlates of non-daily and daily cannabis use among persons 15 years and older in South Africa: Results of a national survey in 2017

2020 ◽  
Author(s):  
Shandir Ramlagan ◽  
Karl Peltzer ◽  
Supa Pengpid
Keyword(s):  
Logistic Regression ◽  
Alcohol Use ◽  
Drug Use ◽  
Alcohol Use Disorder ◽  
Multinomial Logistic Regression ◽  
Health Indicators ◽  
Cannabis Use ◽  
Cross Sectional ◽  
Negatively Associated ◽  
Male Sex

Abstract BackgroundThe study aimed to assess the prevalence and correlates of non-daily and daily cannabis use among persons 15 years and older in South Africa.MethodIn a national cross-sectional 2017 survey, 39,207 persons 15 years and older (Median = 34 years) responded to a questionnaire on substance use and health variables. Multinominal logistic regression was used to assess the determinants of nondaily and daily cannabis use and logistic regression for the determinants of daily cannabis use among active cannabis users.ResultsResults indicate that 5.0% of the participants engaged in non-daily and 2.8% in daily cannabis use in the past 3 months. In adjusted multinomial logistic regression analysis, male sex, having Grade 8–11 education, Coloureds, alcohol use disorder, living with husband or wife, not living with a partner, and other drug use were positively and students were negatively associated with daily cannabis use. Male sex, younger age, living alone or single, living with a partner, alcohol use disorder, and other drug use were positively and multimorbidity was negatively associated with nondaily cannabis use. Compared to nondaily cannabis users, male sex had higher odds and students and other drug use had lower odds of daily cannabis use.ConclusionAbout one in ten participants engaged past 3-month cannabis use, and several sociodemographic and health indicators were identified associated with non-daily and daily cannabis use.

Validity of the DSM-5 craving criterion for alcohol, tobacco, cannabis, cocaine, heroin, and non-prescription use of prescription painkillers (opioids)

2021 ◽  
pp. 1-15
Author(s):  
D. Shmulewitz ◽  
M. Stohl ◽  
E. Greenstein ◽  
S. Roncone ◽  
C. Walsh ◽  
...  
Keyword(s):  
Substance Use ◽  
Logistic Regression ◽  
Drug Use ◽  
Binge Drinking ◽  
Substance Use Disorder ◽  
Clinical Relevance ◽  
Illicit Drug ◽  
Dsm 5 ◽  
Impaired Control ◽  
Baseline Information

Abstract Background Although the DSM-5 was adopted in 2013, the validity of the new substance use disorder (SUD) diagnosis and craving criterion has not been investigated systematically across substances. Methods Adults (N = 588) who engaged in binge drinking or illicit drug use and endorsed at least one DSM-5 SUD criterion were included. DSM-5 SUD criteria were assessed for alcohol, tobacco, cannabis, cocaine, heroin, and opioids. Craving was considered positive if “wanted to use so badly that could not think of anything else” (severe craving) or “felt a very strong desire or urge to use” (moderate craving) was endorsed. Baseline information on substance-related variables and psychopathology was collected, and electronic daily assessment queried substance use for the following 90 days. For each substance, logistic regression estimated the association between craving and validators, i.e. variables expected to be related to craving/SUD, and whether association with the validators differed for DSM-5 SUD diagnosed with craving as a criterion v. without. Results Across substances, craving was associated with most baseline validators (p values<0.05); neither moderate nor severe craving consistently showed greater associations. Baseline craving predicted subsequent use [odds ratios (OR): 4.2 (alcohol) – 234.3 (heroin); p's ⩽ 0.0001], with stronger associations for moderate than severe craving (p's < 0.05). Baseline DSM-5 SUD showed stronger associations with subsequent use when diagnosed with craving than without (p's < 0.05). Conclusion The DSM-5 craving criterion as operationalized in this study is valid. Including craving improves the validity of DSM-5 SUD diagnoses, and clinical relevance, since craving may cause impaired control over use and development and maintenance of SUD.

Alcohol and Drug Problems

2019 ◽  
pp. 3-16
Author(s):  
Dennis C. Daley ◽  
Antoine Douaihy
Keyword(s):  
Substance Use ◽  
Drug Use ◽  
Prescription Drug ◽  
Substance Use Disorders ◽  
Substance Use Disorder ◽  
Illegal Drug ◽  
Drug Misuse ◽  
Prescription Drug Misuse ◽  
Illegal Drug Use ◽  
Drug Problems

A substance problem is any negative outcome from prescription drug misuse, illegal drug use, or binge drinking. These problems often lead to substance use disorders (SUDs). Any substance use can cause problems. The real issues are a person’s reasons for using, and whether that substance use is part of a substance use disorder. Family members often think of the drug as being the problem when it is really the person’s pattern of use and reasons for using that are the problems. Drugs come and go and are replaced by new ones all the time. SUDs and addiction are people problems that involve drugs.

scholarly journals Stress Allostasis in Substance Use Disorder: Promise, Progress, and Emerging Priorities

2020 ◽  
Author(s):  
Gaylen Fronk ◽  
Sarah June Kittleson Sant'Ana ◽  
Jesse T Kaye ◽  
John Joseph Curtin
Keyword(s):  
Substance Use ◽  
Drug Use ◽  
Substance Use Disorders ◽  
Substance Use Disorder ◽  
Clinical Implications ◽  
Treatment Development ◽  
Etiologic Role ◽  
Stress Biology ◽  
The Relationship ◽  
Biology Research

Clinicians and researchers alike have long believed that stressors play a pivotal etiologic role in risk, maintenance, and/or relapse of alcohol and other substance use disorders (SUDs). Numerous seminal and contemporary theories on SUD etiology posit that stressors may motivate drug use and that individuals who use drugs chronically may display altered responses to stressors. We use foundational basic stress biology research as a lens through which to evaluate critically the available evidence to support these key stress-SUD theses in humans. Additionally, we examine the field’s success to date in targeting stressors and stressor allostasis in treatments for SUDs. We conclude with our recommendations for how best to advance our understanding of the relationship between stressors and drug use, and we discuss clinical implications for treatment development.

Epidemiology of Substance use Disorders

2017 ◽  
Author(s):  
Denise B. Kandel ◽  
Mei-Chen Hu ◽  
Pamela C. Griesler ◽  
Bradley T. Kerridge ◽  
Bridget F. Grant
Keyword(s):  
Substance Use ◽  
Drug Use ◽  
General Population ◽  
Substance Use Disorders ◽  
Substance Use Disorder ◽  
Developmental Stages ◽  
Consumption Patterns ◽  
Dsm 5 ◽  
Problematic Drug ◽  
Race Ethnicity

The epidemiology of drug use in the general population includes two distinct streams of research. The more common stream measures consumption patterns by asking individuals whether (and how frequently) they have ever used specific classes of drugs. The second stream measures the extent of problematic drug use by asking individuals about behaviors and symptoms that would meet the criteria for a substance use disorder. This chapter presents data on the epidemiology and phenomenology of substance use disorders from comparative and developmental perspectives, focusing on DSM-5 definitions, prevalence for types of drugs and by age, gender, and race/ethnicity, comorbidity with psychiatric disorders, and developmental stages.

scholarly journals Interactions of neuroimmune signaling and glutamate plasticity in addiction

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Cassandra D. Gipson ◽  
Scott Rawls ◽  
Michael D. Scofield ◽  
Benjamin M. Siemsen ◽  
Emma O. Bondy ◽  
...  
Keyword(s):  
Substance Use ◽  
Drug Use ◽  
Substance Use Disorders ◽  
Drugs Of Abuse ◽  
Treatment Strategies ◽  
Glutamate Signaling ◽  
Open Questions ◽  
Seeking Behavior ◽  
Glutamate System ◽  
Chronic Use

AbstractChronic use of drugs of abuse affects neuroimmune signaling; however, there are still many open questions regarding the interactions between neuroimmune mechanisms and substance use disorders (SUDs). Further, chronic use of drugs of abuse can induce glutamatergic changes in the brain, but the relationship between the glutamate system and neuroimmune signaling in addiction is not well understood. Therefore, the purpose of this review is to bring into focus the role of neuroimmune signaling and its interactions with the glutamate system following chronic drug use, and how this may guide pharmacotherapeutic treatment strategies for SUDs. In this review, we first describe neuroimmune mechanisms that may be linked to aberrant glutamate signaling in addiction. We focus specifically on the nuclear factor-kappa B (NF-κB) pathway, a potentially important neuroimmune mechanism that may be a key player in driving drug-seeking behavior. We highlight the importance of astroglial-microglial crosstalk, and how this interacts with known glutamatergic dysregulations in addiction. Then, we describe the importance of studying non-neuronal cells with unprecedented precision because understanding structure-function relationships in these cells is critical in understanding their role in addiction neurobiology. Here we propose a working model of neuroimmune-glutamate interactions that underlie drug use motivation, which we argue may aid strategies for small molecule drug development to treat substance use disorders. Together, the synthesis of this review shows that interactions between glutamate and neuroimmune signaling may play an important and understudied role in addiction processes and may be critical in developing more efficacious pharmacotherapies to treat SUDs.

Abstract 228: National Prevalence of Substance Use Disorders Among Hospitalized Heart Failure Patients

2018 ◽  
Vol 11 (suppl_1) ◽  
Author(s):  
Sarah C Snow ◽  
Gregg C Fonarow ◽  
Joseph A Ladapo ◽  
Donna L Washington ◽  
Katherine Hoggatt ◽  
...  
Keyword(s):  
Heart Failure ◽  
Substance Use ◽  
Native American ◽  
Drug Use ◽  
Substance Use Disorders ◽  
Age Groups ◽  
Opioid Use ◽  
Drug Use Disorders ◽  
Increased Risk ◽  
Drug Use Disorder

Background: Several cardiotoxic substances contribute to the development of heart failure (HF). The burden of comorbid substance use disorders (SUD) among patients with HF is under-characterized. Objectives: To describe the national burden of comorbid SUD (tobacco, alcohol, or drug use disorders) among hospitalized HF patients in the U.S. Methods: We used data from the 2014 National Inpatient Sample to calculate the proportion of hospitalizations for a primary HF admission with tobacco, alcohol, or drug use disorder diagnoses, accounting for demographic factors. Drug use disorder analysis was further sub-divided into specific illicit substance categories. Results: There were a total of 989,080 HF hospitalizations of which 35.3% (n=348,995) had a documented SUD. Tobacco use disorder (TUD) was most common (n= 327,220, 33.1%) followed by drug use disorder (DUD) (n=34,600, 3.5%) and alcohol use disorder (AUD) (n=34,285, 3.5%). Female sex was associated with less TUD (OR 0.59; 95% CI, 0.58-0.60), AUD (OR 0.23; 95% CI, 0.22-0.25) or DUD (OR 0.58; 95% CI 0.55-0.62). Tobacco, alcohol, cocaine, and opioid use disorders were highest among HF patients age 45 to 55, while cannabis and amphetamine use was highest in those <45 years. Native American race (versus White) was associated with increased risk of AUD (OR 1.67; 95% CI 1.27-2.20). Black race was associated with increased risk of AUD (OR 1.09; 95% CI 1.02-1.16) or DUD (OR 1.63; 95% CI 1.53-1.74). Medicaid insurance (versus Medicare) was associated with greater TUD (OR 1.27; 95% CI 1.23-1.32), AUD (OR 1.74; 95% CI 1.62-1.87), and DUD (OR 2.15; 95% CI 2.01-2.30). Decreasing quartiles of median household income were associated with increasing SUD. Conclusions: Comorbid SUD disproportionately affects certain HF populations, including men, younger age groups, lower SES patients, and race/ethnic minorities. Further research on interventions to improve prevention and treatment of SUD among hospitalized HF patients are needed given the high rates of SUD in this population. Systematically screening hospitalized HF patients for SUD may reveal opportunities for treatment and secondary prevention.

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