The Association Between Self-Reported Anxiety and Retention in Opioid Agonist Therapy: Findings From a Canadian Pragmatic Trial

BACKGROUND

Prescription-type opioid use disorder (POUD) is often accompanied by comorbid anxiety, yet the impact of anxiety on retention in opioid agonist therapy (OAT) is unclear. Therefore, this study investigated whether baseline anxiety severity affects retention in OAT and whether this effect differs by OAT type (methadone maintenance therapy (MMT) vs. buprenorphine/naloxone (BNX)).

METHODS

This secondary analysis used data from a pan-Canadian randomized trial comparing flexible take-home dosing BNX and standard supervised MMT for 24 weeks. The study included 268 adults with POUD. Baseline anxiety was assessed using the Beck Anxiety Inventory (BAI), with BAI ≥ 16 indicating moderate-to-severe anxiety. The primary outcomes were retention in assigned and any OAT at week 24. In addition, the impact of anxiety severity on retention was examined, and assigned OAT was considered an effect modifier.

RESULTS

Of the participants, 176 (65%) reported moderate-to-severe baseline anxiety. In adjusted analyses, there was no significant difference in retention between those with BAI ≥ 16 and those with BAI < 16 assigned (29% vs. 28%; odds ratio (OR) = 2.03, 95% confidence interval (CI) = 0.94-4.40; P = 0.07) or any OAT (35% vs. 34%; OR = 1.57, 95% CI = 0.77-3.21; P = 0.21). In addition, there was no significant effect modification by OAT type for retention in assigned (P = 0.41) or any OAT (P = 0.71). In adjusted analyses, greater retention in treatment was associated with BNX (vs. MMT), male gender identity (vs. female, transgender, or other), enrolment in the Quebec study site (vs. other sites), and absence of a positive urine drug screen for stimulants at baseline.

CONCLUSIONS

Baseline anxiety severity did not significantly impact retention in OAT for adults with POUD, and there was no significant effect modification by OAT type. However, the overall retention rates were low, highlighting the need to develop new strategies to minimize the risk of attrition from treatment.

CLINICAL TRIAL REGISTRATION

This study was registered in ClinicalTrials.gov (NCT03033732).

What's in a Name? Terminology Preferences Among Patients Receiving Methadone Treatment

BACKGROUND

Despite recognition of the importance of substance use disorder (SUD) terminology, few studies examine terminology preferences among patients with SUDs.

OBJECTIVE

To examine preferences of patients with opioid use disorder (OUD) concerning the terminology used by addiction counselors.

DESIGN

From January 1, 2019, to February 28, 2020, participants were recruited consecutively from 30-day treatment review sessions at outpatient methadone treatment programs in the Northeastern United States to complete a cross-sectional survey.

PARTICIPANTS

Participants were English-speaking adult patients with OUD enrolled in methadone treatment.

MAIN MEASURES

Participants completed 7-point Likert-type scales from 1 ("Strongly Disagree") to 7 ("Strongly Agree") to rate their preferences for (a) the presenting problem, (b) collective nouns referring to those with the presenting problem, and (c) personal descriptors. We used univariate analysis of covariance (ANCOVA) to examine the associations between demographics (i.e., age, sex, and race) and terminology preferences and ordinal logit regression to explore the association between 12-step program partiality and preference for the term "addict."

KEY RESULTS

We surveyed 450 patients with mean age of 38.5 (SD = 11.1) years; 59.6% self-identified as male, 77.6% as White, and 12.7% as Hispanic. The highest-rated preferences for presenting problem were "addiction," "substance use," and "substance abuse." The highest-rated collective noun terms were "client," "patient," and "guest." "Person with an addiction," "person with substance use disorder," and "substance-dependent person" were the highest-rated personal descriptors. There were significant differences in terminological preference based on race and age. Twelve-step program partiality was associated with greater preference for the term "addict" (F = 21.22, p < .001).

CONCLUSIONS

Terminology preferences among people receiving methadone treatment aligned with existing guidelines recommending that clinicians use medically accurate and destigmatizing terminology when referring to substance use disorders and the persons who have them. Demographic differences emerged in terminological preferences, warranting further examination.

Substance of choice, impact of heroin or opium on treatment retention in a multicentre randomised controlled trial in Iran

INTRODUCTION

In the Middle East and Asia, illicit opioid use exists across a spectrum between heroin and opium. The impact of primary opioid of choice on opioid agonist treatment retention has not been well evaluated previously, especially for opium tincture, an increasingly popular form of opioid agonist treatment in Iran. This study investigates the relationship between primary opioid of choice, namely heroin or opium, and retention in opium tincture and methadone treatment.

METHODS

Participants with opioid use disorder (n = 204) were randomised to receive opium tincture or methadone. All participants were categorised as mainly using opium or heroin. Bivariate analyses between treatment retention and primary opioid of choice (P < 0.05) and logistic regression were conducted.

RESULTS

Among the 191 participants included in this analysis, heroin was the primary substance of choice for 135 participants (70.7%) and opium for 56 (29.3%). Bivariate analysis showed that the opium group was more likely to be satisfied with family situation, employed and retained in treatment than the heroin group while less likely to experience incarceration and use multiple substances. When adjusting for covariates, primary opioid of choice was not significantly associated with retention in either methadone or opium tincture treatment arm.

DISCUSSION AND CONCLUSIONS

Positive factors, such as employment, housing and family support, seem to collectively explain the higher retention in treatment among those who primarily use opium compared to those who use heroin. To optimise retention in opioid agonist treatment, biopsychosocial care models should be further evaluated to improve psychosocial functioning.

Uptake of slow-release oral morphine as opioid agonist treatment among hospitalised patients with opioid use disorder

INTRODUCTION

Buprenorphine and methadone are highly effective first-line medications for opioid agonist treatment (OAT) but are not acceptable to all patients. We aimed to assess the uptake of slow-release oral morphine (SROM) as second-line OAT among medically ill, hospitalised patients with opioid use disorder who declined buprenorphine and methadone.

METHODS

This study included consecutive hospitalised patients with untreated moderate-to-severe opioid use disorder referred to an inpatient addiction medicine consultation service, between June 2018 and September 2019, in Nova Scotia, Canada. We assessed the proportion of patients initiating first-line OAT (buprenorphine or methadone) in-hospital, and the proportion initiating SROM after declining first-line OAT. We compared rates of outpatient OAT continuation (i.e., filling outpatient OAT prescription or attending first outpatient OAT clinic visit) by medication type, and compared OAT selection between patients with and without chronic pain, using χ² tests.

RESULTS

Thirty-four patients were offered OAT initiation in-hospital; six patients (18%) also had chronic pain. Twenty-one patients (62%) initiated first-line OAT with buprenorphine or methadone. Of the 13 patients who declined first-line OAT, seven (54%) initiated second-line OAT with SROM in-hospital. Rates of outpatient OAT continuation after hospital discharge were high (>80%) and did not differ between medications (P = 0.4). Patients with co-existing chronic pain were more likely to choose SROM over buprenorphine or methadone (P = 0.005).

DISCUSSION AND CONCLUSIONS

The ability to offer SROM (in addition to buprenorphine or methadone) increased rates of OAT initiation among hospitalised patients. Increasing access to SROM would help narrow the opioid use disorder treatment gap of unmet need.

Suicidal ideation and attempts following nonmedical use of prescription opioids and related disorder

BACKGROUND

Since 1999, the rate of fatal prescription opioid overdoses and of suicides has dramatically increased in the USA. These increases, which have occurred among similar demographic groups, have led to the hypothesis that the opioid epidemic contributed to increases in suicidal behavior, though the underlying association remains poorly defined. We examine the association between nonmedical use of prescription opioids/opioid use disorder and suicidal ideation/attempts.

METHODS

We used longitudinal data from a national representative sample of the US adult population, the National Epidemiologic Survey on Alcohol and Related Conditions. Participants (n = 34 653) were interviewed in 2001-2002 (wave 1) and re-interviewed approximately 3 years later (wave 2). A propensity score analysis estimated the association between exposure to prescription opioids at wave 1 and prevalent/incident suicidal behavior at wave 2.

RESULTS

Heavy/frequent (⩾2-3 times a month) prescription opioid use was associated with prevalent suicide attempts [adjusted risk ratio (ARR) = 2.75, 95% CI 1.35-5.60]. Prescription opioid use disorder was associated with prevalent (ARR = 1.98, 95% CI 1.20-3.28) and incident suicidal ideation (ARR = 2.59, 95% CI 1.25-5.37), and prevalent attempts (ARR = 4.19, 95% CI 1.71-10.27). None of the exposures was associated with incident suicide attempts.

CONCLUSIONS

Heavy/frequent opioid use and related disorder were associated with prevalent suicide attempts; opioid use disorder was also associated with the incident and prevalent suicidal ideation. Given population increases in nonmedical use of prescription opioids and disorder, the opioid crisis may have contributed to population increases in suicidal ideation.

Epidemiology, Outcomes, and Trends of Patients With Sepsis and Opioid-Related Hospitalizations in U.S. Hospitals

OBJECTIVES

Widespread use and misuse of prescription and illicit opioids have exposed millions to health risks including serious infectious complications. Little is known, however, about the association between opioid use and sepsis.

DESIGN

Retrospective cohort study.

SETTING

About 373 U.S. hospitals.

PATIENTS

Adults hospitalized between January 2009 and September 2015.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Sepsis was identified by clinical indicators of concurrent infection and organ dysfunction. Opioid-related hospitalizations were identified by the International Classification of Diseases, 9th Revision, Clinical Modification codes and/or inpatient orders for buprenorphine. Clinical characteristics and outcomes were compared by sepsis and opioid-related hospitalization status. The association between opioid-related hospitalization and all-cause, in-hospital mortality in patients with sepsis was assessed using mixed-effects logistic models to adjust for baseline characteristics and severity of illness.The cohort included 6,715,286 hospitalizations; 375,479 (5.6%) had sepsis, 130,399 (1.9%) had opioid-related hospitalizations, and 8,764 (0.1%) had both. Compared with sepsis patients without opioid-related hospitalizations (n = 366,715), sepsis patients with opioid-related hospitalizations (n = 8,764) were younger (mean 52.3 vs 66.9 yr) and healthier (mean Elixhauser score 5.4 vs 10.5), had more bloodstream infections from Gram-positive and fungal pathogens (68.9% vs 47.0% and 10.6% vs 6.4%, respectively), and had lower in-hospital mortality rates (10.6% vs 16.2%; adjusted odds ratio, 0.73; 95% CI, 0.60-0.79; p < 0.001 for all comparisons). Of 1,803 patients with opioid-related hospitalizations who died in-hospital, 928 (51.5%) had sepsis. Opioid-related hospitalizations accounted for 1.5% of all sepsis-associated deaths, including 5.7% of sepsis deaths among patients less than 50 years old. From 2009 to 2015, the proportion of sepsis hospitalizations that were opioid-related increased by 77% (95% CI, 40.7-123.5%).

CONCLUSIONS

Sepsis is an important cause of morbidity and mortality in patients with opioid-related hospitalizations, and opioid-related hospitalizations contribute disproportionately to sepsis-associated deaths among younger patients. In addition to ongoing efforts to combat the opioid crisis, public health agencies should focus on raising awareness about sepsis among patients who use opioids and their providers.

Estimating the proportion of patients who transition to long-term opioid use following oxycodone initiation in the emergency department

OBJECTIVE

To report the number of patients discharged from ED with oxycodone immediate release (IR) over 12 months and estimate the proportion who potentially transition to long-term opioid use and subsequent injectable heroin use.

METHODS

Retrospective observational data were collected from a major tertiary-referral metropolitan ED in Melbourne, Australia, describing the number of patients discharged with an oxycodone IR prescription and proportion of discharge scripts filled. These data were projected against published data reporting trends on patients' trajectory to long-term opioid use, to subsequently estimate the proportion of patients from this cohort that may transition to injectable heroin use.

RESULTS

Of the 87 551 ED presentations in 2018, there were 4843 prescriptions written for oxycodone IR for 4102 different patients. An estimated 279 patients may become long-term opioid users following initial ED presentation. Of these 279 patients, 1.4 patients may potentially transition to injectable heroin use.

CONCLUSION

Modelling opioid use behaviour in an ED population demonstrated the potential development of unintentional long-term opioid use, and associated harms. Prospective study is required to fully understand trajectories of patients dispensed outpatient therapy from Australian EDs.

Exploratory descriptive analysis of opioid prescribing prevalence of nurse practitioners and the specialties associated with the top prescribers

BACKGROUND

Opioid prescription drug abuse is increasingly becoming a concern beyond the United States. Little is known regarding nurse practitioners' opioid prescribing patterns or settings.

AIM

To examine nurse practitioners' opioid prescription patterns.

METHODS

We conducted a retrospective cross-sectional descriptive study of the 2016 Medicare Part D Prescriber Public Use File and analysed the association between the number of nurse practitioners and the number of opioid prescriptions. We conducted Web searches on the top 1% of prescribers to obtain the specialty areas in which nurse practitioners worked.

RESULTS

There was no significant correlation between the prevalence of nurse practitioners and the opioid prescription rates among the states in the United States. Most nurse practitioners do not prescribe opioids. Opioid prescription is highly concentrated among nurse practitioners, as 1% of nurse practitioners account for one third of opioids prescribed by nurse practitioners. Most of the top 1% opioid prescribers practice in specialty care with board-certified pain medicine physicians.

CONCLUSIONS

The prevalence of nurse practitioners is not likely a significant contributing factor to the opioid epidemic. Rather than increased scrutiny of opioid prescribing, a better approach to curb the opioid crisis might be to facilitate collaboration among physicians, nurse practitioners and patients.

Characterizing non-heroin opioid overdoses using electronic health records

INTRODUCTION

The opioid epidemic is a modern public health emergency. Common interventions to alleviate the opioid epidemic aim to discourage excessive prescription of opioids. However, these methods often take place over large municipal areas (state-level) and may fail to address the diversity that exists within each opioid case (individual-level). An intervention to combat the opioid epidemic that takes place at the individual-level would be preferable.

METHODS

This research leverages computational tools and methods to characterize the opioid epidemic at the individual-level using the electronic health record data from a large, academic medical center. To better understand the characteristics of patients with opioid use disorder (OUD) we leveraged a self-controlled analysis to compare the healthcare encounters before and after an individual's first overdose event recorded within the data. We further contrast these patients with matched, non-OUD controls to demonstrate the unique qualities of the OUD cohort.

RESULTS

Our research confirms that the rate of opioid overdoses in our hospital significantly increased between 2006 and 2015 (P < 0.001), at an average rate of 9% per year. We further found that the period just prior to the first overdose is marked by conditions of pain or malignancy, which may suggest that overdose stems from pharmaceutical opioids prescribed for these conditions.

CONCLUSIONS

Informatics-based methodologies, like those presented here, may play a role in better understanding those individuals who suffer from opioid dependency and overdose, and may lead to future research and interventions that could successfully prevent morbidity and mortality associated with this epidemic.

Experiences of burnout among drug counselors in a large opioid treatment program: A qualitative investigation

BACKGROUND

Little is known about possible experiences of burnout among drug counselors in opioid treatment programs that are scaling up capacity to address the current opioid treatment gap.

METHODS

Participants in this quality improvement study were 31 drug counselors employed by large opioid treatment programs whose treatment capacities were expanding. Experiences of burnout and approaches for managing and/or preventing burnout were examined using individual semi-structured interviews, which were audiotaped, transcribed, and systematically coded by a multidisciplinary team using grounded theory.

RESULTS

Rates of reported burnout (in response to an open-ended question) were lower than expected, with approximately 26% of participants reporting burnout. Counselor descriptions of burnout included cognitive, affective, behavioral, and physiological symptoms; and job-related demands were identified as a frequent cause. Participants described both self-initiated (e.g., engaging in pleasurable activities, exercising, taking breaks during workday) and system-supported strategies for managing or preventing burnout (e.g., availing of supervision and paid time off). Counselors provided recommendations for system-level changes to attenuate counselor risk of burnout (e.g., increased staff-wide encounters, improved communication, accessible paid time off, and increased clinical supervision).

CONCLUSIONS

Findings suggest that drug counselor burnout is not inevitable, even in opioid treatment program settings whose treatment capacities are expanding. Organizations might benefit from routinely assessing counselor feedback about burnout and implementing feasible recommendations to attenuate burnout and promote work engagement.