Substance Abuse and Rehabilitation最新文献

Background: Quality training is an oft-cited barrier to effective implementation and ongoing delivery of high-quality evidence-based practice (EBP) across fields. This is especially true in the addiction field, but there is little cited evidence for optimal methods to improve EBP in inpatient addiction facilities with minimal resources.

Objective: The current paper focuses on evaluating the state of our facility's group CBT manual and clinical training on the manual in a "realistic" (ie, non-RCT, non-grant-funded) inpatient addiction treatment setting.

Methods: Five full-time clinicians volunteered to take part in the study (woman = 60%; M_age = 36.20 years). The study involved a mix of semi-structured interviews and surveys designed to measure seven outcomes (barriers, feasibility, useability, appropriateness, acceptability, burden, trialability).

Results: Three themes emerged from the data that impacted the group CBT manual: training, timing, and functionality. Addressing these themes allowed for a new, optimal manual and training procedure to be put into place.

Conclusion: The current study highlights that under-resourced inpatient addiction facilities can still methodically utilize implementation approaches to study their EBP, namely CBT. Such an approach will ensure that the highest quality care is being delivered to patients and actively addresses known training barriers that prevent proper EBP delivery.

Purpose: Cravings for drugs and alcohol have been significantly associated with worse treatment outcomes. We investigated if improvements in recovery capital (RC) (eg, a measure of social capital/network, financial resources, education, and cultural factors) over time were associated with decreased reported cravings.

Patients and methods: The original cohort consisted of 133 participants (63 females) with opioid use disorder seeking outpatient treatment, who completed the Assessment of Recovery Capital (ARC) (range 0 to 50) and the Brief Addiction Monitor (BAM) thrice over the 6-month study. Intervention was medication and case management. Analysis included one-way mixed models testing change over time for ARC total scores and single question craving rating (5-point Likert scale). Cross-lagged panel estimates used structural equation models with variables z-scored, allowing for path coefficient evaluation as standard deviations (sd).

Results: Total ARC significantly increased over the study (χ2 = 33.77, df = 2, p < 0.0001), with baseline of 36.6 (n = 114, sd = 11.1) and 6-month of 41.2 (n = 107, sd = 9.5). Craving also changed significantly (χ2 = 8.51, df = 2, p < 0.015), with baseline of 1.1 (n = 101, sd = 1.2) and 6-month of 0.9 (n = 107, sd = 1.1). The cross-lag from baseline RC to 3-month craving was significant (β = -0.28, SE = 0.11, z = -2.53, p < 0.011). The converse was not true; baseline craving did not affect later RC. Results were similarly significant when comparing 3-month to 6-month. The majority of sample was on buprenorphine.

Conclusion: As RC improves, the reported cravings at both 3- and 6-month study time points are significantly reduced. When evaluated inversely, there was not a significant association with baseline cravings and follow-up RC. Significant path coefficients provide an estimation of a directional effect from increased RC towards craving reduction.

There is a fundamental disconnect between the optimal management of addiction in general and care delivery in pregnancy and postpartum. Addiction is a chronic condition requiring some degree of management across the life course. Yet, in the US, reproductive care is episodic and centers more on pregnancy than at other stages of the reproductive life course. Pregnancy is prioritized in access to insurance as almost all pregnant people are Medicaid eligible but access ends at varying points postpartum. This results in a structural mismatch: the episodic management of the chronic condition of addiction only within gestational periods. Though people with substance use disorder (SUD) may access care in pregnancy, treatment attrition is common postpartum. Postpartum is a time of increased vulnerabilities where insurance churn and newborn caretaking responsibilities collide in a context of care withdrawal from the health system and health providers. In part in consequence, return to use, SUD recurrence, overdose, and overdose death are more common postpartum than in pregnancy, and drug deaths have become a leading cause of maternal deaths in the US. This review addresses interventions to support engagement in addiction care postpartum. We begin with a scoping review of model programs and evidence-informed interventions that have been shown to increase continuation of care postpartum. We then explore the realities of contemporary care through a review of clinical and ethical principles, with particular attention to harm reduction. We conclude with suggestions of strategies (clinical, research, and policy) to improve care postpartum and highlight potential pitfalls in the uptake of evidence-based and person-centered services.

Background: Alcohol consumption is a major public health concern among adolescents and young adults. Adolescence is an important period of human growth. Alcohol consumption during this age will lead to a variety of problems: health, social, economic, etc. Further, research studies have shown that alcohol consumption, both at normal and above normal levels, will lead to a wide range of health problems. The purpose of this study is to evaluate the prevalence and associated factors for alcohol consumption among secondary school students in Nekemte town, East Wollega Zone, Ethiopia, in 2022.

Methods: A school-based cross-sectional research design approach is used. The data is collected using a structured and self-administered questionnaire. Through systematic random sampling, 291 out of 15,798 students ranging from 9 through 12 grades are chosen. The students selected from each school are proportional to their total strength.

Results: The study is conducted on 291 participants with a mean age of 17.5 ± 1.5 years. Of them, 49.8% are males, and the remaining 50.2% are females. It revealed that 27.84% of participants consume alcohol: 30.3% males and 25.3% females. Age (AOR: 2.755, 95% CI: 1.307-5.809), Urban location (AOR: 1.674, 95% CI: 0.962-2.914), Smoking (AOR: 0.426, 95% CI: 0.104-1.740), Chewing Khat (AOR: 2.185, 95% CI: 0.539-8.855), Having friends who drink (AOR: 1.740, 95% CI: 0.918-3.300), and having a family member who drinks alcohol. All these categories are significantly (p<0.05) associated with alcohol use.

Conclusion: The effects of alcohol consumption and its risks of mental illness, chronic illness, and social problems in adulthood are not completely understood by school students. Alcoholism can be eradicated using educational, preventive, and motivating measures. Special attention should be given to young people and their coping mechanisms against alcohol use.

Background: Smoking behavior has been associated with poor academic performance among adult students worldwide. However, the detrimental effect of nicotine dependence on several students' academic achievement indicators is still unclear. This study aims to assess the impact of smoking status and nicotine dependence on grade point average (GPA), absenteeism rate and academic warnings among undergraduate health sciences students in Saudi Arabia.

Methods: A validated cross-sectional survey was conducted, in which, participants responded to questions evaluated cigarette consumption, urge to consume and dependency, learning performance, days of absentees, and academic warnings.

Results: A total of 501 students from different health specialties have completed the survey. Of whom, 66% were male, 95% ranging between the age of 18-30 years old, and 81% reported no health issues or chronic diseases. Current smokers estimated to be 30% of the respondents, of which 36% revealed smoking history of 2-3 years. The prevalence of nicotine dependency (high to extremely high) was 50%. Overall, smokers had significantly lower GPA, higher absenteeism rate, and higher number of academic warnings when compared to nonsmokers (p<0.001). Heavy smokers demonstrated significantly less GPA (p=0.036), higher days of absences (p=0.017), and more academic warnings (p=0.021) compared to light smokers. The linear regression model indicated a significant association between smoking history (increased pack-per-year) and poor GPA (p=0.01) and increased number of academic warning last semester (p=0.01), while increased cigarette consumption was substantially linked with higher academic warnings (p=0.002), lower GPA (p=0.01), and higher absenteeism rate for last semester (p=0.01).

Conclusion: Smoking status and nicotine dependence were predictive of worsening academic performance, including lower GPA, higher absenteeism rate and academic warnings. In addition, there is a substantial and unfavorable dose-response association between smoking history and cigarette consumption with impaired academic performance indicators.

Introduction: Psychoactive substance use is a growing health problem in both developing and developed countries. Despite adolescents being at high risk of practicing risky behaviors including substance use, there is no adequate information on the problem in the Harari Region, in the Eastern part of Ethiopia. Hence, the present study aimed to identify the burden of current substance use in high school adolescent students of Harari Region, Ethiopia, from 10th April to 10th May 2022.

Methods: A school-based cross-sectional study was employed on a total of 1498 randomly selected adolescent students. Poisson regression was used for the assessment of substance use over the last three months among adolescent students. The substance use burden was reported by IRR (incidence rate ratio) at a 95% Confidence interval. The final model fitness was checked using Akaike information criterion (AIC) and Bayesian information criterion (BIC) reports. The variables that had less than 0.05 P-value were declared to be statistically significant.

Results: The overall psychoactive substance use was 373 (24.9%, 95% Confidence Interval (CI); 22.8-27.1%). The substances included khat (21.6%, 95% CI; 18.6-23.6%), alcohol drinking (1.8%; 95% CI; 1.3-2.6%), and smoking (1.2%, 95% CI; 0.75-1.9%). Being male (IRR (Incidence Rate ratio) = 1.21, 95% CI; 1.11-1.38), availability of the substance (IRR (Incidence Rate ratio) = 2.02, 95%; 1.53-2.66), having substance user friends (IRR=1.60: 95% CI: 1.30-2.01), and being at a younger age (IRR = 1.21; 95% CI: 1.02-1.44) increased the psychoactive substance use rate in the adolescents.

Conclusion and recommendation: One out of four adolescents was a current psychoactive substance user. Being male, substance availability, having substance-user friends, and being at younger age increased the psychoactive substance use rate in school adolescents in Eastern Ethiopia. The intervention that involves the schools' community, students' families, and executive bodies should be strengthened to overcome the substance use-related burdens among high school adolescent students.

Purpose: We provide an overview of Cognitive Behavioral Therapy (CBT) efficacy for adult alcohol or other drug use disorders (AOD) and consider some key variations in application as well as contextual (ie, moderators) or mechanistic (ie, mediators) factors related to intervention outcomes.

Methods: This work is a narrative overview of the review literature on CBT for AOD.

Results: Robust evidence suggests the efficacy of classical/traditional CBT compared to minimal and usual care control conditions. CBT combined with another evidence-based treatment such as Motivational Interviewing, Contingency Management, or pharmacotherapy is also efficacious compared to minimal and usual care control conditions, but no form of CBT consistently demonstrates efficacy compared to other empirically-supported modalities. CBT and integrative forms of CBT have potential for flexible application such as use in a digital format. Data on mechanisms of action, however, are quite limited and this is despite preliminary evidence that shows that CBT effect sizes on mechanistic outcomes (ie, secondary measures of psychosocial adjustment) are moderate and typically larger than those for AOD use.

Conclusion: CBT for AOD is a well-established intervention with demonstrated efficacy, effect sizes are in the small-to-moderate range, and there is potential for tailoring given the modular format of the intervention. Future work should consider mechanisms of CBT efficacy and key conditions for dissemination and implementation with fidelity.

Introduction: This prospective, repeated-measures observational study tested biopsychosocial variables as risk factors for dropping out of inpatient substance addiction treatment. Substance use disorder (SUD) is viewed as a chronic relapsing disease caused by an interaction between biological, psychological, and social factors. However, there is a lack of prospective studies that combine biopsychosocial variables when assessing dropout. The aims of this study were to investigate whether there was 1) An association between biopsychosocial factors and dropping out of inpatient substance addiction treatment, 2) An interaction with SUD diagnosis and cortisol, and 3) Different dropout rates between short-term and long-term institutions.

Materials and methods: Patients (n = 173) were recruited from two inpatient treatment centers in Norway between 2018 and 2021. The following biopsychosocial variables were measured at four timepoints: ward atmosphere (Ward Atmosphere Scale, WAS), psychological distress (Hopkins Symptom Checklist 10, HSCL-10), motivation (M-scale of the Circumstances, Motivation, Readiness, and Suitability questionnaire), and concentration of salivary cortisol (CORT- nmol/L). Cortisol levels were measured for two consecutive days at each timepoint and calculated by two cortisol indices, daytime cortisol slope (DCS) and area under the curve with respect to the ground (AUC_G). A multivariate logistic regression analysis was performed to find an association between dropout rates and the biopsychosocial variables.

Results: The results suggest a lower dropout odds for patients with high motivation (OR = 0.76, p = 0.022) and patients admitted to short-term treatment (OR = 0.06, p = 0.005). An interaction with stimulant SUD and DCS (OR = 13.74, p = 0.024) also revealed higher dropout odds. No statistical significance was found for psychological distress, WAS, and cortisol AUC_G.

Conclusion: The results support monitoring motivation during treatment and further investigating biopsychosocial variables when assessing dropout risk together with SUD diagnosis.