Substance abuse最新文献

Background: This study explored the relationship between history of substance abuse and pain severity during inpatient rehabilitation following traumatic spinal cord injury (SCI). Methods: Secondary analysis of a prospective longitudinal study. An adjusted general linear model was used to examine differences in functional improvement based on history of substance abuse and pain severity. Results: Over 50% of the sample had a history of substance abuse, and 94% reported moderate or severe pain. There was a significant interaction between the history of substance abuse and pain severity (p = 0.01, partial η² = 0.012). A difference in functional improvement was found among individuals who reported low pain; those with a history of substance abuse achieved less functional improvement than those without a history of substance abuse, M = 5.32, SE = 1.95, 95% CI 0.64-10.01. Conclusions: A history of substance abuse and post-injury pain are prevalent among individuals with SCI in rehabilitation, and there may be a meaningful relationship between these two patient characteristics and functional improvement. The results provide potential new insights into the characteristics of vulnerable subpopulations during SCI rehabilitation. Furthering our understanding of these results warrants future investigation to prevent and minimize poor outcomes among vulnerable SCI patients.

Background: Alcohol use is a concerning issue for the military given its potential negative impact on human performance. Limited data are available regarding the incidence of alcohol use disorder in the military, which is critical to understand to evaluate force readiness, as well as for preventative initiatives and treatment planning. The aim was to examine the alcohol use disorder incidence rates (overall and across demographics) among active duty service members from 2001 to 2018. Methods: Data on 208,870 active duty service members between 2001 and 2018 from the Defense Medical Epidemiology Database was examined. Incidence rates were analyzed to determine the diagnostic rates of AUD (including both alcohol abuse and dependence), which were then examined by sex, age, service branch, military pay grade, marital status, and race. Results: Incidence rates of AUD in active duty service members (per 1,000 service members) ranged from 6.45 to 10.50 for alcohol abuse and 5.21 to 7.11 for alcohol dependence. Initial diagnoses of new-onset AUD occurred most frequently within 20-24 year-old, white, male, and non-married U.S. Army service members in the enlisted pay grades of E-1 to E-4. Statistically significant differences (p <.001) were found between observed and expected counts across all examined demographic variables. Conclusions: To our knowledge, this is the first study to provide a comprehensive examination of AUD incidence rates in an active-duty military population over an extended 18-year period and during the last decade. Incidence rates were higher than expected for alcohol dependence and lower than expected for alcohol abuse. Given the untoward effects of AUD on overall health and force readiness, active-duty service members may benefit from more advanced preventative interventions to decrease incidence rates of AUD over time. Future research should use these data to develop targeted interventions for the demographics at greatest risk.

Introduction: As rates of overdose and substance use disorders (SUDs) increase, medical schools are starting to incorporate more content on SUDs and harm reduction in undergraduate medical education (UME). Initial data suggest these additions may improve medical student knowledge and attitudes toward patients with SUDs; however, there is no standard curriculum. Methods: This project uses a six-step approach to UME curricular development to identify needs and goals regarding SUDs and opioid overdose at a large single-campus medical school in the United States. We first developed and delivered a pilot curriculum to a small group of medical students. Pilot results and a larger survey led to implementing a one-hour Opioid Overdose Prevention and Response (OOPR) Training for first-year students. Effects of training were tracked using baseline and post-training surveys examining knowledge and attitudes toward opioid overdose and patients with SUDs. Results: Needs assessment indicated desire and need for training. The pilot study (N = 66) resulted in significantly improved knowledge regarding opioid overdose; 100% of students enjoyed training and believed others should receive it. The larger replication study surveyed all incoming students (N = 266) to gauge initial knowledge and experiences with these topics. Results prompted enhancement of the OOPR Training curriculum, which was delivered to half of the first-year class. Post-training survey results replicated the pilot study findings. The majority (95.2%) of students enjoyed training and 98.4% believed all students should receive it. Conclusion: Delivering a thorough curriculum on SUDs and harm reduction in UME is critical. Although many schools are implementing training, there is no standard curriculum. We outline a low-resource training intervention for OOPR. Our findings identified key features to include in these UME curricula. This approach provides a replicable template for schools seeking to develop brief educational interventions and identify essential content for curricula in SUDs and harm reduction.

Background: Front-line providers working with people who inject drugs (PWID) are at increased risk of experiencing burnout. Few studies have examined protective factors against burnout incurred in the care of PWID, including harm reduction counseling skills. We measured self-efficacy in harm reduction counseling, burnout, and compassion satisfaction among Internal Medicine (IM) trainees caring for PWID. Methods: In this cross-sectional study, we surveyed IM interns and residents. Self-efficacy was assessed by asking trainees about attitudes, comfort, and knowledge in harm reduction counseling on a five-point Likert scale. Burnout and compassion satisfaction were assessed via an adapted 20-question Professional Quality of Life Scale. We compared self-efficacy in harm reduction counseling, compassion satisfaction, and burnout between interns and residents using ANOVA and Mann-Whitney U tests. We used Spearman's rho correlational analysis to examine the relationship between these three variables. Results: Seventy-nine IM trainees (36 interns, 43 residents) completed the survey for a 52% response rate. Residents reported higher self-efficacy in harm reduction counseling, similar levels of burnout, and higher compassion satisfaction compared to interns. Across training levels, we found a negative correlation between burnout and compassion satisfaction (r = -0.55, p < 0.01) and a positive correlation between compassion satisfaction and comfort counseling PWID on harm reduction (r = 0.30, p < 0.01). Conclusions: Among IM trainees at an urban institution serving a large population of PWID, self-efficacy in harm reduction counseling and compassion satisfaction increase with time in training while burnout remains similar. Strengthening trainees' capacity to counsel PWID on harm reduction may improve their compassion satisfaction in caring for this population, potentially leading to improved care. This relationship should be explored longitudinally in larger cohorts and through evaluations of harm reduction-focused medical education.

Background: COVID-19 is disproportionately affecting disadvantaged populations, including persons with opioid use disorder (OUD). Persons with OUD are at greater risk for direct (e.g., COVID-19 diagnosis, severe symptoms) and indirect consequences (relapse, overdose) of COVID-19. Given stay at home orders, at-home testing options may serve as a viable tool to curb the increase in COVID-19 transmission and adverse effects of COVID-19. Methods: From May to September 2020, we surveyed 110 persons in treatment for OUD about their willingness to use various self-administered at-home COVID-19 testing measures. Participants were stratified by age, gender, and racial-ethnic identity to observe differences in willingness to use COVID-19 tests. The three COVID-19 tests included a throat swab sample, a saliva-based sample, and a blood prick test. Results: A high willingness to use at-home COVID-19 tests was observed in patients in treatment for OUD. A greater proportion of females were willing to use a saliva-based test; greater proportions of White participants were willing to use a saliva based COVID-19 test compared to racial-ethnic minorities. Older aged participants (≥45 years old) reported greater rates of willingness to use a self-administered at home blood prick test for COVID-19. Conclusions: At-home testing measures for COVID-19 appear highly acceptable among people with OUD.

Background: Our study explored whether latent classes adequately represented the social capital recovery indicators at the resident level and whether latent class membership predicted subsequent exits from the recovery homes. Method: Our sample included about 600 residents in 42 recovery homes. Over a 2-year period of time, every 4 months, data were collected on eight elements of recovery capital. Results: We found 5 latent classes were optimal for representing 8 elements of recovery capital. Representing 79% of the sample, 3 of the 5 latent class profiles of the means of the 8 recovery indicators were roughly parallel and differed only in level, but the remaining 2 latent class profiles, representing 21% of the sample, were not parallel to the first 3, suggesting that a single quantitative dimension of perceived recovery may capture most but not all of the important details of the recovery process. Next, using longitudinal data from homes, the distal outcomes of resident eviction and voluntary exit were found to be related to latent class membership. Resident level pre-existing predictors (e.g., employment status, educational attainment, gender, Latinx ethnicity) and house level pre-existing predictors (e.g., financial health, poverty level of typical population served, new resident acceptance rate) significantly discriminated the classes. In a model that combined both pre-existing predictors and distal outcomes, latent class membership was still the strongest predictor of evictions controlling for the pre-existing predictors. Conclusions: These classes help to clarify the different aspects of the recovery latent score, and point to classes that have different ethnic and gender characteristics as well as outcomes in the recovery homes. For example, the high levels of self-confidence found in class 3 suggest that Latinx might be at higher risk for having some difficulties within these recovery communities.

Medication treatment for opioid use disorder (MOUD) is an effective evidence-based therapy for decreasing opioid-related adverse outcomes. Effective strategies for retaining persons on MOUD, an essential step to improving outcomes, are needed as roughly half of all persons initiating MOUD discontinue within a year. Data science may be valuable and promising for improving MOUD retention by using "big data" (e.g., electronic health record data, claims data mobile/sensor data, social media data) and specific machine learning techniques (e.g., predictive modeling, natural language processing, reinforcement learning) to individualize patient care. Maximizing the utility of data science to improve MOUD retention requires a three-pronged approach: (1) increasing funding for data science research for OUD, (2) integrating data from multiple sources including treatment for OUD and general medical care as well as data not specific to medical care (e.g., mobile, sensor, and social media data), and (3) applying multiple data science approaches with integrated big data to provide insights and optimize advances in the OUD and overall addiction fields.

Background: Screening for unhealthy drug use is now recommended for adult primary care patients, but primary care providers (PCPs) generally lack the time and knowledge required to screen and deliver an intervention during the medical visit. To address these barriers, we developed a tablet computer-based 'Substance Use Screening and Intervention Tool (SUSIT)'. Using the SUSIT, patients self-administer screening questionnaires prior to the medical visit, and results are presented to the PCP at the point of care, paired with clinical decision support (CDS) that guides them in providing a brief intervention (BI) for unhealthy drug use. Methods: PCPs and their patients with moderate-risk drug use were recruited from primary care and HIV clinics. A pre-post design compared a control 'screening only' (SO) period to an intervention 'SUSIT' period. Unique patients were enrolled in each period. In both conditions, patients completed screening and identified their drug of most concern (DOMC) before the visit, and completed a questionnaire about BI delivery by the PCP after the visit. In the SUSIT condition only, PCPs received the tablet with the patient's screening results and CDS. Multilevel models with random intercepts and patients nested within PCPs examined the effect of the SUSIT intervention on PCP delivery of BI. Results: 20 PCPs and 79 patients (42 SO, 37 SUSIT) participated. Most patients had moderate-risk marijuana use (92.4%), and selected marijuana as the DOMC (68.4%). Moderate-risk use of drugs other than marijuana included cocaine (15.2%), hallucinogens (12.7%), and sedatives (12.7%). Compared to the SO condition, patients in SUSIT had higher odds of receiving any BI for drug use, with an adjusted odds ratio of 11.59 (95% confidence interval: 3.39, 39.25), and received more elements of BI for drug use. Conclusions: The SUSIT significantly increased delivery of BI for drug use by PCPs during routine primary care encounters.

Background: Communities across the United States are confronting the precipitous rise in opioid overdose fatalities that has occurred over the past decade. Naloxone, an opioid antagonist, is a safe rescue medication that laypeople can administer to reverse an overdose. Community naloxone training programs have been well-documented. Less is known about overdose survivors' subjective experiences with naloxone reversal and its impacts on drug use behavior.

Methods: Semi-structured interviews were conducted with 35 community-dwelling adults who had been reversed at least once with naloxone. Inductive thematic content analysis incorporating Atlas.ti software was used to identify themes.

Results: Four broad thematic categories were identified. (1) Overdose experience and memory: Most participants remembered taking the drugs one minute and waking up the next-sometimes in different surroundings; (2) Naloxone rescue-waking up: Participants described acute withdrawal symptoms, disorientation, and volatile emotions; (3) Reasons for overdose: Polypharmacy; changes in opioid tolerance, or presence of fentanyl were the most common explanations. (4) Impacts of naloxone rescue: A variety of contextual factors influenced participants' responses to naloxone rescue, especially acute withdrawal symptoms. While some participants altered or tempered their opioid use, others resumed opioid use-especially to mitigate withdrawal. Participants overwhelmingly emphasized that naloxone saved their lives.

Conclusion: Results suggest that a naloxone rescue may not be a wake-up call for many people who use opioids, but access to naloxone is an effective overdose harm reduction option, supporting its widespread implementation. The study findings underscore the importance of ongoing community overdose prevention and harm reduction initiatives, including take-home naloxone (THN) and medication assisted treatment in the Emergency Department.

Background:Having prescribers use clinical video teleconferencing (telemedicine) to prescribe buprenorphine to people with opioid use disorder (OUD) has shown promise but its implementation is challenging. We describe barriers, facilitators and lessons learned while implementing a system to remotely prescribe buprenorphine to Veterans in rural settings. Methods: We conducted a quality improvement project aimed at increasing the availability of medications for OUD (MOUD) to Veterans. This project focused on tele-prescribing buprenorphine to rural sites via a hub (centralized prescribers) and spoke (rural clinics) model. After soliciting a wide-range of inputs from site visits, qualitative interviews of key stakeholders at rural sites, and review of preliminary cases, a "how-to" toolkit was developed and iteratively refined to guide tele-prescribing of buprenorphine. After internal and external facilitation strategies were employed, Veterans with OUD at three clinics were transitioned to buprenorphine treatment via telemedicine. Results: Factors impacting adoption of the tele-prescribing intervention were mapped to the Consolidated Framework for Implementation Research (CFIR) constructs. Barriers to adoption included concerns about legality of tele-prescribing a controlled substance, conflicting interests between different stakeholders, and coordination with an existing buprenorphine program requiring more attendance and abstinence from Veterans than the tele-prescribing program required. Factors facilitating adoption included a sense of mission around combating the opioid epidemic, preexisting use of and comfort with tele-prescribing, and rural sites' control over Veterans referred to tele-prescribers. A total of 12 patients from rural areas were successfully transitioned onto buprenorphine, of whom 9 remained on buprenorphine 6 months after initiation of treatment. Conclusions: Implementing tele-prescribing was negotiated with stakeholders at the target clinics and operationalized in a toolkit to guide future efforts. Implementation issues can be addressed by activities that foster collaboration between hubs (centralized prescribers) and spokes (rural clinics) and by a toolkit that operationalizes tele-prescribing procedures.