Background

Relatively little is known regarding the perception of medication-assisted treatments (MATs) and other treatment options amongst individuals that engage in non-medical prescription opioid use. This study surveyed out-of-treatment individuals that misuse opioids to better understand how perceived access to treatment shapes treatment preference.

Methods

Participants (n=357) were out-of-treatment adults registered as workers on the Amazon Mechanical Turk platform who reported current non-medical prescription opioid use. Participants were surveyed regarding demographics, insurance status, attitudes toward opioid use disorder (OUD) treatments, and self-reported symptoms of OUD.

Results

Participants who were male, did not have health insurance, and knew that counseling-type services were locally available were most likely to first attempt counseling/detox treatments (χ2(6)=30.19, p<0.001). Participants who met criteria for severe OUD, used heroin in the last 30days, knew their insurance covered MAT, and knew of locally available MAT providers were most likely to first attempt MAT (χ2(4)=26.85, p<0.001). Participants with insurance and who knew of locally available physicians were most likely to attempt physician visits without the expressed purpose of MAT (χ2(3)=24.75, p<0.001).

Conclusion

Out-of-treatment opioid users were particularly interested in counseling-based services and medical care that could be attained from a primary-care physician. Results suggest that insurance coverage and perceived access to OUD treatment modalities influences where out-of-treatment opioid users might first seek treatment; understanding the factors that shape treatment preference is critical in designing early interventions to effectively reach this population.

Background

Older adults with opioid use disorder (OUD) are a medically complex population. The current study evaluated trends in older adults seeking treatment for OUD, with a focus on primary heroin versus prescription opioid use. This study also compared older adults with OUD to the younger OUD population on demographics and drug use behaviors.

Methods

Publicly available data from state-certified addiction treatment centers were collected via the Treatment Episode Data Set - Admissions (TEDS-A) between 2004-2015. This study utilized Joinpoint Regression to conduct a cross-sectional, longitudinal analysis of trends in first-time treatment admissions for OUD in adults 55 and older (older adults; n = 400,421) versus adults under the age of 55 (n = 7,795,839). Given the rapid increase in older adults seeking treatment for OUD between 2013-2015, secondary outcomes include changes in demographics and drug use between 2012 (as a baseline year) and 2015.

Results

The proportion of older adults seeking treatment for OUD rose steadily between 2004-2013 (41.2% increase; p-trend = 0.046), then rapidly between 2013-2015 (53.5% increase; p-trend = 0.009). The proportion of older adults with primary heroin use more than doubled between 2012-2015 (p < 0.001); these individuals were increasingly male (p < 0.001), African American (p < 0.001), and using via the intranasal route of administration (p < 0.001).

Conclusions

There has been a recent surge in older adults seeking treatment for OUD, particularly those with primary heroin use. Specialized treatment options for this population are critically needed, and capacity for tailored elder care OUD treatments will need to increase if these trends continue.

Background

While most opioid use disorder (OUD) treatment providers consider opioid abstinence to be the preferred outcome, little is known about the treatment preferences of the larger population of individuals who engage in nonmedical opioid use and have not yet sought treatment. This study sought to descriptively quantify the proportion of out-of-treatment individuals with nonmedical opioid use that have abstinent and nonabstinent recovery goals.

Methods

Participants (N = 235) who engage in nonmedical opioid use and met self-reported criteria for OUD were recruited online and participated in a cross-sectional survey on recovery goals and treatment perceptions. Participants were dichotomized as having either abstinent (70.6%) or nonabstinent (29.4%) recovery goals. Participants were presented with 13 treatment options and asked which treatment they would "try first" and which treatment they thought would be the best option for long-term recovery.

Results

Persons in the nonabstinent group were more likely to want to continue use of prescription opioids as prescribed by a physician compared with the abstinent group (χ[1] = 9.71, P = 0.002). There were no group differences regarding preference for individual OUD treatments. The most frequently endorsed treatments that participants would "try first" were physician visits (23.4%), one-on-one counseling (18.7%), and 12-step groups (13.2%), whereas the most frequently endorsed treatments for long-term recovery were one-on-one counseling (17.4%), residential treatment (16.7%), and buprenorphine (15.3%).

Conclusion

Public health initiatives to engage out-of-treatment individuals should take into account recovery goals and treatment preferences to maximize treatment initiation and retention.

Background

Chronic pain is common among patients receiving opioid maintenance treatment (OMT) for opioid use disorder. To aid development of treatment recommendations for coexisting pain and opioid use disorder, it is necessary to characterize pain treatment needs and assess whether needs differ as a function of OMT medication.

Methods

A point-prevalence survey assessing pain and engagement in coping strategies was administered to 179 methadone and buprenorphine-maintained patients.

Results

Forty-two percent of participants were categorized as having chronic pain. Methadone patients had greater severity of pain relative to buprenorphine patients, though both groups reported high levels of interference with daily activities, and participants with pain attended the emergency room more frequently relative to participants without pain. Only 2 coping strategies were being utilized by more than 50% of participants (over-the-counter medication, prayer).

Conclusions

Results indicate that pain among OMT patients is common, severe, and of significant impairment. Methadone patients reported greater severity pain, particularly worse pain in the past 24h, though interference from pain in daily activities did not vary as a function of OMT. Most participants with pain were utilizing few evidenced-based pain coping strategies. Increasing OMT patient access to additional pain treatment strategies is an opportunity for immediate intervention, and similarities across OMT type suggest interventions do not need to be customized to methadone vs. buprenorphine patients.

Background

Opioid use disorder (OUD) is a significant public health problem, and opioid maintenance treatment (OMT) on methadone or buprenorphine is a common approach. This study characterized sleep impairment in patients maintained on methadone or buprenorphine, and evaluated its association with psychiatric and medical comorbidities.

Methods

Participants (N=185) maintained on methadone (N=125) or buprenorphine (N=60) for OUD completed the Medical Outcomes Study Sleep Scale (MOS) to provide a point-prevalence assessment of sleep impairment. Measures of lifetime problems and current functioning were also examined and compared as both a function of OMT and level of sleep impairment.

Results

Participants reported high levels of sleep impairment on the MOS, including not getting the amount of sleep they needed (42.9%), not sleeping enough to feel rested (39.6%) and trouble falling asleep (23.3%) or falling back asleep after waking (25.8%). Few differences were observed between OMT groups, and psychiatric dysfunction emerged as the most robust predictor of sleep impairment ratings. Patients with sleep impairment, independent of OMT medications, also reported current opioid withdrawal, psychiatric impairment, negative affect, and pain.

Conclusions

Results demonstrate substantial and clinically-significant impairments in sleep that are associated with a variety of current problems that could impact OMT outcomes and decrease quality of life. Outcomes support the development of methods to improve sleep in OMT patients, and to examine the degree to which sleep improvements may be associated with improvements in mood and other health-related measures.

Objective Individuals with chronic pain who misuse prescription opioids are at high risk for developing opioid use disorder and/or succumbing to opioid overdose. The current study conducted a survey to evaluate sex-based differences in pain catastrophizing, opioid withdrawal, and current pain in persons with co-occurring chronic pain and opioid misuse. We hypothesized that women with chronic pain who misused prescription opioids would self-report higher pain ratings compared with men and that the relationship between pain catastrophizing and self-reported current pain would be moderated by symptoms of opioid withdrawal in women only. Design Survey assessment of the relationship between pain and opioid misuse. Setting Online via Amazon Mechanical Turk. Participants Persons with ongoing chronic pain who also misused prescription opioids on one or more days in the last 30 days were eligible (N = 181). Methods Participants completed demographic and standardized assessments including the Brief Pain Inventory (BPI), Pain Catastrophizing Scale (PCS), and Subjective Opiate Withdrawal Scale (SOWS). Results Women reported higher levels of current (P < 0.001), average (P < 0.001), and worst (P = .002) pain in the last 24 hours compared with men. Women also endorsed higher scores on the PCS (P = 0.006) and marginally higher past-30-day SOWS ratings (P = 0.068) compared with men. SOWS ratings moderated the relationship between PCS and BPI Worst Pain in women (ΔR2 < 0.127, ΔF(1, 78) = 12.39, P = 0.001), but not in men (ΔR2 < 0.000, ΔF(1, 98) = 0.003, P = 0.954). Conclusions These data suggest a strong relationship between opioid withdrawal, pain catastrophizing, and the experience of pain in women with chronic pain who misuse opioids.

African Americans are subject to health disparities in smoking and chronic pain. Given that nicotine has analgesic properties, increases in acute pain may be an expression of the tobacco abstinence syndrome, particularly among African American smokers with chronic pain. This report is a secondary analysis of data from an ongoing study of individual differences in laboratory-derived tobacco abstinence phenotypes in African American smokers. We tested whether overnight smoking abstinence increased acute pain and whether abstinence-induced changes in acute pain were correlated with other expressions of tobacco abstinence and amplified among smokers with chronic pain. African American smokers (N = 214; 10+ cig/day) attended a baseline visit (when chronic pain was reported), and two counterbalanced experimental sessions (ad libitum smoking vs. 16-hr smoking abstinence). At both experimental sessions, measures of self-reported acute pain and other tobacco abstinence symptoms were administered. Smoking abstinence significantly increased acute pain (d = .17, p = .01). Correlations between abstinence-induced changes in acute pain and abstinence-induced changes in negative affect, r = .15, p = .02, smoking urges, r = .13, p = .05, and composite nicotine withdrawal symptoms, r = .13, p = .06, were small and nonsignificant after correction for multiple tests, indicating that phenotypic variation in abstinence-provoked changes in acute pain and other tobacco abstinence expressions were largely independent. Baseline levels of chronic pain predicted greater abstinence-induced pain amplification at experimental sessions (βs = .29-.31; ps < .001). Acute pain is greater following overnight tobacco abstinence (vs. satiation) among African American smokers, predominantly among those with chronic pain. Addressing pain in tobacco addiction science, treatment, and health equity programming warrants consideration. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Methadone maintenance is an effective treatment for opioid use disorder, yet many methadone-maintained patients (MMPs) continue to struggle with chronic relapse. The current study evaluated whether functional near-infrared spectroscopy (fNIRS) could identify prefrontal cortex (PFC) markers of ongoing opioid use in MMPs, and whether clinical measures of depression and self-report measures of craving would also be associated with opioid use. MMPs (n = 29) underwent a drug cue reactivity paradigm during fNIRS measurements of PFC reactivity. Self-reported opioid craving (measured by a visual analog scale; 0-100) was collected before and after drug cue reactivity, and depressive symptoms were assessed via the 17-item Hamilton Depression Rating Scale (HAM-D). Hierarchical regression and partial correlations were used to evaluate associations between weekly urine drug screens over a 90-day follow-up period and fNIRS, craving, and HAM-D assessments. Neural response to drug cues in the left lateral PFC, controlling for age, sex, and days in treatment was significantly associated with percent opioid-negative urine screens during follow-up (∆F_1, 24 = 13.19, p = 0.001, ∆R² = 0.30), and correctly classified 86% of MMPs as either using opioids, or abstaining from opioids (χ²(4) = 16.28, p = 0.003). Baseline craving (p < 0.001) and HAM-D assessment (p < 0.01) were also associated with percent opioid-negative urine screens. Combining fNIRS results, baseline craving scores, and HAM-D scores created a robust predictive model (∆F_3, 22 = 16.75, p < 0.001, ∆R² = 0.59). These data provide preliminary evidence that the fNIRS technology may have value as an objective measure of treatment outcomes within outpatient methadone clinics. Depressive symptoms and drug craving were also correlated with opioid use in MMPs.

Background

Understanding mechanisms of physiological opioid withdrawal symptoms can inform treatment strategies. This secondary analysis evaluated the association between mydriasis (dilated pupils), a commonly-assessed opioid withdrawal metric, with self- and observer-rated opioid withdrawal severity.

Method

Ninety-five participants with opioid physical dependence were stabilized with morphine before receiving an injection of the opioid antagonist naloxone to precipitate withdrawal. Pupil diameter, the Subjective Opiate Withdrawal Scale (SOWS), and the Clinical Opiate Withdrawal Scale (COWS) were collected at baseline and in 15-minute intervals for 120 min following naloxone administration. Pearson product-moment correlations and linear regressions characterized the relationships between pupil measurements (baseline and peak naloxone-induced) and self- and observer-rated measures of withdrawal. Repeated-measures ANOVAs tested whether self and observer-rated withdrawal severity corresponded to unique patterns in pupil changes.

Results

Baseline pupil diameter significantly correlated with SOWS and COWS peak scores. Peak naloxone-induced pupil diameter significantly correlated with SOWS scores only. Peak changes in pupil from baseline did not correspond to peak changes in self- and observer-rated withdrawal scales.

Conclusions

This study suggests that pupil diameter measurements were more closely associated with acute opioid withdrawal severity than changes in pupil diameter. Prospective research examining the mechanisms underlying the relationship between pupil diameter and opioid withdrawal severity are warranted.

Opioid use disorder (OUD) is a public health crisis. Differences in opioid withdrawal severity that predict treatment outcome could facilitate the process of matching patients to treatments. This is a secondary analysis of a randomized controlled trial (RCT) that enrolled treatment seeking heroin-users (N = 89, males = 78) into a residential study. Participants maintained on morphine (30 mg, subcutaneous, four-times daily) underwent a naloxone (0.4 mg, IM = intramuscular) challenge session to precipitate withdrawal. Area-under-the-curve (AUC) values from self-reported withdrawal ratings during the challenge session were analyzed using K-means clustering, revealing two phenotype groups. Withdrawal and retention from the subsequent 14-day double-blind, double-dummy RCT comparing three study medications (clonidine, tramadol-ER, and buprenorphine) were evaluated as a function of phenotype. Cluster analyses suggested HIGH (N = 37; mean [SD] subjective opiate withdrawal scale [SOWS]-AUC 123.7 [65.8]) and LOW (N = 52; SOWS-AUC 68.0 [47.7]) withdrawal phenotype groups. HIGH participants were significantly more female and had lower body mass indices than LOW participants; no drug-use variables were significant. Regarding RCT outcomes, HIGH phenotype participants were less likely to be retained in the study (P = 0.02) and had higher mean self-reported withdrawal (P = 0.05) than LOW phenotype participants. A significant interaction in RCT retention was observed between phenotype (P = 0.02) and study medication (P < 0.01). Self-reported withdrawal was significant for phenotype (P = 0.02); study medication trended towards significance (P = 0.07). Results suggest patients have meaningfully different experiences of opioid withdrawal that may predict differential response to opioid pharmacotherapies during supervised withdrawal. Additional prospective research to replicate and more thoroughly evaluate withdrawal phenotype correlates and sex differences is warranted.