Craving mediates the association between momentary pain and illicit opioid use during treatment for opioid-use disorder: an ecological momentary assessment study

Study Protocol for Pain Self-Management and Patient-Oriented Buprenorphine Dosing for Pain and Retention in Office-Based Opioid Treatment: A Hybrid Type 1, 2 × 2 Factorial Randomized Controlled Trial

Chronic pain is a significant factor for patients with opioid use disorder (OUD) contributing to suboptimal retention in buprenorphine treatment, which is a crucial predictor of long-term health outcomes. This study aims to address the critical need for effective interventions targeting chronic pain management within office-based opioid treatment (OBOT) programs. We are conducting a multisite, hybrid type 1, 2 × 2 factorial randomized clinical trial to determine the effectiveness of 2 novel interventions, pain self-management (PSM) and patient-oriented buprenorphine dosing (POD), to decrease pain interference and improve retention in buprenorphine treatment. PSM, a manualized and customizable approach delivered through individual and peer-led group sessions, aims to decrease pain-related symptoms and quality of life. POD involves split dosing of buprenorphine to extend the duration of analgesia to better match its duration of efficacy at managing OUD symptoms, leading to improved retention in buprenorphine treatment. Eligible participants will be randomized into 1 of 4 groups: (1) PSM + POD, (2) PSM + Standard Buprenorphine Dosing, (3) Usual Care + POD, or (4) Usual Care + Standard Buprenorphine Dosing. Usual Care refers to usual care for chronic pain and Standard Buprenorphine Dosing refers to the participant's current dosing regimen. Secondary objectives encompass overall pain reduction, decreased opioid use, improved pain symptom management, and exploration of implementation strategies. The supplemental approved protocol provides comprehensive insights into the procedures and variables being investigated. As part of the HEAL Initiative®-funded Integrative Management of Chronic Pain and OUD for Whole Recovery (IMPOWR) network, this study aims to fill gaps in behavioral and medication treatments for individuals with co-occurring chronic pain and OUDs, improving pain management and retention in care. Successful outcomes from this trial may inform future larger trials, offering essential evidence for implementation considerations and reimbursement decisions.

Pain in people seeking and receiving opioid agonist treatment: A systematic review and meta-analysis of prevalence and correlates

BACKGROUND AND AIMS

People with opioid use disorder (OUD) commonly experience pain including chronic pain. Despite the high prevalence, few studies have systematically examined the prevalence and correlates of pain among people seeking or receiving opioid agonist treatment (OAT) for OUD. This review aimed to determine the prevalence of pain in this population globally, and estimate the association between chronic pain and other demographic and clinical characteristics.

METHODS

Electronic searches were conducted in three databases (Medline, Embase and PsycINFO) from the inception until October 2022. Eligible studies reported prevalence rates of current and/or chronic pain. Meta-analyses examining the main prevalence estimates were conducted by Stata SE 18.0, and comorbid clinical conditions were analysed by Review Manager 5.4.

RESULTS

Fifty-six studies (n participants = 35 267) from sixty-seven publications were included. Prevalence estimates of current and chronic pain were reported in 27 (48.2%) and 40 studies (71.4%), respectively. Most studies were conducted in North America (71.4%, n = 40) and used cross-sectional designs (64.3%, n = 36). Meta-analyses revealed a pooled prevalence of 60.0% (95% confidence interval [CI]: 52.0-68.0) for current pain and 44.0% [95% CI: 40.0-49.0] for chronic pain. Chronic pain was positively associated with older age (mean deviation of mean age: 2.39 years, 95% CI: 1.40-3.37; I2 = 43%), unemployment (odds ratio [OR] = 0.57, 95% CI: 0.42-0.76; I2 = 78%), more severe mental health symptoms (e.g. more severe depression (standardised mean difference [SMD] of mean scores: 0.45, 95% CI: 0.20-0.70; I2 = 48%) and anxiety symptoms (SMD: 0.52, 95% CI: 0.17-0.88; I2 = 67%), and hepatitis C (OR = 1.41, 95% CI: 1.03-1.94; I2 = 0%). No association was observed between chronic pain and the onset and type of OAT, geographic location, study design, survey year, participant age or use of specific pain assessment tools.

CONCLUSIONS

There appears to be a high prevalence of pain among people seeking or receiving opioid agonist treatment for opioid use disorder compared with the general population, with positive associations for older age, unemployment, hepatitis C and the severity of some mental health symptoms.

Pain in alcohol use disorder: Evaluating effects of childhood trauma, perceived stress, and psychological comorbidity

The relationship between pain and alcohol use disorder (AUD) is complex and bidirectional. The current study examines risk factors for pain in a large comprehensively phenotyped sample including individuals from across the spectrum of alcohol use and misuse. Participants (n = 1101) were drawn from the National Institute on Alcohol Abuse and Alcoholism Natural History Protocol and included treatment-seeking AUD inpatients (AUD+Tx, n = 369), individuals with AUD not seeking treatment (AUD+, n = 161), and individuals without AUD (AUD-, n = 571). General linear models were utilized to test the effects of AUD status, history of childhood trauma exposure, perceived stress, and psychological comorbidity on daily percent time in pain, as well as change in daily percent time in pain across the inpatient stay in AUD+Tx individuals. Overall, 60.2% individuals reported any pain, with a significantly higher prevalence in the AUD+Tx group (82.1%) compared to the AUD+ (56.5%) and AUD- (47.1%) groups. Daily percent time in pain was also highest in the AUD+Tx group (30.2%) and was further increased in those with a history of childhood abuse and comorbid posttraumatic stress disorder (PTSD). Years of heavy drinking and craving were also associated with increased percent time in pain in the AUD+Tx group. Percent time in pain decreased following acute withdrawal in the AUD+Tx group but plateaued around 25% just prior to discharge. Individuals seeking inpatient treatment for AUD, especially those with a history of childhood trauma and/or comorbid PTSD, report greater percent time in pain compared to those not seeking treatment and those without AUD. The prolonged experience of pain in abstinent AUD inpatients after the resolution of acute withdrawal may signal the early stages of protracted withdrawal. Integrative treatments targeting pain and other symptoms of protracted withdrawal may be effective in improving overall function in people with severe AUD.

Intersectional Risk and the Significant Gap in Care for Persons With Co-occurring Chronic Pain and Opioid Withdrawal

OBJECTIVES

Persons with chronic pain and women tend to enter treatment for opioid use disorder with greater opioid withdrawal severity than persons without chronic pain and men, respectively. This study examined characteristics of facilities with opioid withdrawal treatment, including gender-based services, as a function of whether they reported having a tailored pain management program.

METHODS

The National Survey of Substance Abuse Treatment Services 2020 was used to examine 3942 facilities with opioid withdrawal treatment in the United States. Using a multivariable binary logistic regression model, facilities were examined for the presence of a tailored program for individuals with co-occurring pain. Regional location of the facility, ownership status, and availability of tailored gender programs, nonhospital residential services, and outpatient services served as independent variables in the analysis.

RESULTS

A slight majority of the sample had a program for both adult men and adult women ( n = 2010, 51.0%). Most facilities had outpatient services ( n = 3289, 83.4%) and did not have a tailored program for addressing co-occurring pain ( n = 2756, 69.9%). Binary logistic regression analysis showed that among opioid withdrawal facilities, programs with nonhospital residential services, government or private nonprofit funding, or tailored gender programming had higher odds of reporting having a tailored program for pain and substance use disorder. Facilities in the Western United States were most likely to have tailored programs for pain and substance use disorder.

CONCLUSIONS

Future research should investigate what support patients may receive and how to better scale access to pain management during opioid withdrawal treatment.

A Qualitative Exploration of Attitudes Toward Global Positioning System Tracking and Ecological Momentary Assessment Among Individuals in Substance Use Treatment

BACKGROUND

The use of tracking technology in substance use research can uncover the role of contextual factors, such as social networks and environmental cues, in triggering cravings and precipitating return to use. Few studies have explored the opinions of individuals in substance use treatment related to tracking technology.

METHODS

We conducted 30 semi-structured interviews with individuals in substance use treatment facilities in Connecticut and Georgia. Interviews were not limited to individuals with any specific substance use disorder. Interviewers described a hypothetical study involving ecological momentary assessment and global positioning system tracking to examine place-based predictors of substance use. Participants were invited to share reactions to this description. We used thematic analysis to identify themes in participant perceptions of this hypothetical research study.

RESULTS

Most participants shared positive opinions about study participation and expressed little to no concern about the tracking components. Participant concerns focused on the security of their information and the potential burden of responding to study questions. Participants largely understood the importance of study participation for promoting greater understanding of substance use and identified potential therapeutic effects of study participation on their own recovery.

CONCLUSIONS

Individuals in substance use treatment expressed little concern with research studies or interventions incorporating mobile-tracking elements. Future studies should explore the responsible use of tracking elements in recovery support interventions.

Case report: Successful induction of buprenorphine in medically complex patients concurrently on opioids: a case series at a tertiary care center

Effective pain management is essential for optimal surgical outcomes; however, it can be challenging in patients with a history of opioid use disorder (OUD). Buprenorphine, a partial opioid agonist, is a valuable treatment option for patients with OUD. Initiating buprenorphine treatment in patients concurrently taking opioids can be complex due to potential adverse outcomes like precipitated withdrawal. Evolving guidelines suggest there are benefits to continuing buprenorphine for surgical patients throughout the perioperative period, however situations do arise when buprenorphine has been discontinued. Typically, in this scenario patients would be restarted on buprenorphine after they have fully recovered from post-surgical pain and no longer require opioids for pain control. Unfortunately, holding MOUD may expose the patient to risks such as opioid induced respiratory depression or addiction relapse. In this case series, we discuss a novel method to restart buprenorphine in small incremental doses, known as micro-dosing, while the patient is still taking opioids for pain. We will present two complex clinical cases when this method was used successfully at a tertiary care hospital system.

The relationship of pain intensity and opioid craving with delayed methadone dose: A preliminary study of individuals with opioid use disorder

AIMS

Despite a strong theoretical link between opioid craving and pain, little is known about the temporal relationship between pain and craving and the acute experience of pain in the context of methadone treatment. Using a cross-over design, the current study evaluated the time course of pain and craving and objective experience of pain as a function of the last methadone dose.

METHODS

Participants (n = 20) presented for the study in the morning and either received methadone dose as scheduled or delayed dose until the afternoon. During the 4-h study visit, participants completed a series of tasks, including repeated assessment of pain and craving at 0, +40, +70, +130, +160 and +240 min and a cold pressor test (CPT) at +15 and +220 min.

RESULTS

Separate mixed model results demonstrated no effect of dosing condition on craving; however, there was a significant dosing condition by time interaction (F(5,209) = 3.38, P = .006) such that pain increased over time in the delayed methadone condition but decreased in time in the scheduled methadone condition. A mixed model predicting self-reported pain revealed a three-way interaction between dosing condition, craving and time (F(5,197) = 2.39, P = .039) explained by a positive association between craving and pain at each time point (except 240 min) in delayed condition (P-range = .004-.0001). A separate mixed model on CPT data indicated a significant condition by time interaction such that pain threshold decreased in the delayed, but not scheduled, condition (F(1,57) = 4.01, P = .050).

CONCLUSIONS

These preliminary findings highlight the potential for increased risks after even a short delay in receiving a methadone dose.

Time-varying effect modeling with intensive longitudinal data: Examining dynamic links among craving, affect, self-efficacy and substance use during addiction recovery

Time-varying effect modeling (TVEM), a statistical technique for modeling dynamic patterns of change, presents new opportunities to study biobehavioral health processes. TVEM is particularly useful when applied to intensive longitudinal data (ILD) because it permits highly flexible modeling of outcomes over continuous time, as well as of associations between variables and moderation effects. TVEM coupled with ILD is ideal for the study of addiction. This article provides a general overview of using TVEM, particularly when applied to ILD, to better enable addiction scientists to conduct novel analyses that are important to realizing the dynamics of addiction-related processes. It presents an empirical example using ecological momentary assessment data from participants throughout their first 90 days of addiction recovery to estimate the (1) associations between morning craving and same-day recovery outcomes, (2) association between morning positive and negative affect and same-day recovery outcomes and (3) time-varying moderation effects of affect on the association between morning craving and recovery outcomes. We provide a didactic overview in implementing and interpreting the aims and results, including equations, computer syntax and reference resources. Our results highlight how affect operates as both a time-varying risk and protective factor on recovery outcomes, particularly when considered in combination with experiences of craving (i.e. dynamic moderation). We conclude by discussing our results, recent innovations and future directions of TVEM for advancing addiction science, including how 'time' can be operationalized to probe new research questions.

Integrating cognitive bias modification for pain and opioid cues into medication for opioid use disorder clinical care: Feasibility, acceptability, and preliminary results

BACKGROUND

Despite high co-occurrence, chronic pain is often unaddressed in treatment for opioid use disorder (OUD) and little is known about mechanisms that may underlie associations between pain and opioid use. Using an attentional bias (AB) task with both pain and opioid cues, we evaluated a cognitive bias modification (CBM) task administered during regularly scheduled medications for OUD (mOUD) dosing visits. The current study evaluated the feasibility, acceptability, and preliminary efficacy of the CBM task. Outcomes for AB tasks used traditional mean-based score and trial-level bias scores (TLBS).

METHODS

In a double-blind, randomized controlled trial, 28 individuals with OUD and chronic pain engaged in mOUD were randomized to either CBM or an AB control condition and completed up to three tasks per week for four weeks. Standard AB task was completed at baseline and post-treatment. Participants completed feasibility and acceptability measures, and preliminary efficacy (i.e., change in AB) was assessed using ANOVA models.

RESULTS

Participants attended 83.3% of scheduled sessions and generally reported the task was enjoyable, credible, and easy to complete. Preliminary results demonstrated a condition by time interaction highlighting a reduction in AB in the CBM group but not the control group in opioid TLBS variability (F[1,26]=5.01, p = .034) and pain TLBS towards (F[1,26]=6.42, p = .018) and pain TLBS variability (F[1,26]=5.24, p = .03).

CONCLUSIONS

The current study supports integrating brief, computer-based tasks designed to reduce AB into mOUD clinical care. The preliminary results suggest that TLBS outcomes may be more sensitive to capture changes in AB; however, larger studies are required.

Sleep disturbance as a therapeutic target to improve opioid use disorder treatment

Sleep health is an important factor across several physical and mental health disorders, and a growing scientific consensus has identified sleep as a critical component of opioid use disorder (OUD), both in the active disease state and during OUD recovery. The goal of this narrative review is to collate the literature on sleep, opioid use, and OUD as a means of identifying therapeutic targets to improve OUD treatment outcomes. Sleep disturbance is common and often severe in persons with OUD, especially during opioid withdrawal, but also in persons on opioid maintenance therapies. There is ample evidence that sleep disturbances including reduced total sleep time, disrupted sleep continuity, and poor sleep quality often accompany negative OUD treatment outcomes. Sleep disturbances are bidirectionally associated with several other factors related to negative treatment outcomes, including chronic stress, stress reactivity, low positive affect, high negative affect, chronic pain, and drug craving. This constellation of outcome variables represents a more comprehensive appraisal of the quality of life and quality of recovery than is typically assessed in OUD clinical trials. To date, there are very few clinical trials or experimental studies aimed at improving sleep health in OUD patients, either as a means of improving stress, affect, and craving outcomes, or as a potential mechanistic target to reduce opioid withdrawal and drug use behaviors. As such, the direct impact of sleep improvement in OUD patients is largely unknown, yet mechanistic and clinical research suggests that therapeutic interventions that target sleep are a promising avenue to improve OUD treatment. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Attentional biases and daily game craving dynamics: An ecological momentary assessment study

BACKGROUND AND AIMS

Theories posit that the combination of external (e.g. cue exposure) and internal (e.g. attention biases) factors contributes to the development of game craving. Nevertheless, whether different components of attentional biases (namely, engagement bias and disengagement bias) play separate roles on game craving has not been fully elucidated. We aimed to examine the associations between two facets of attentional biases and game craving dynamics under a daily life setting.

METHODS

Participants (110 regular internet game players) accomplished the modified attentional assessment task in the laboratory, after which they entered a 10-day ecological momentary assessment (EMA) to collect data on their momentary game craving and occurrence of game-related events at five different time points per day.

RESULTS

We found that occurrence of game-related events was significantly associated with increased game craving. Moreover, attentional disengagement bias, instead of engagement bias, bore on the occasional level variations of game craving as moderating variables. Specifically, attentional disengagement bias, not engagement bias, was associated with a greater increase in game craving immediately after encountering a game-related event; however, neither attentional engagement bias nor disengagement bias was associated with the craving maintenance after a relatively long period.

DISCUSSION AND CONCLUSIONS

The present study highlights the specific attentional processes involved in game craving dynamics, which could be crucial for designing interventions for attentional bias modification (ABM) in Internet Gaming Disorder (IGD) populations.

Intra-individual variability and stability of affect and craving among individuals receiving medication treatment for opioid use disorder

Affect and craving are dynamic processes that are clinically relevant in opioid use disorder (OUD) treatment, and can be quantified in terms of intra-individual variability and stability. The purpose of the present analysis was to explore associations between opioid use and variability and stability of affect and craving among individuals receiving medication treatment for OUD (MOUD). Adults (N = 224) with OUD in outpatient methadone or buprenorphine treatment completed ecological momentary assessment (EMA) prompts assessing positive affect, negative affect, opioid craving, and opioid use. Dynamic structural equation modeling (DSEM) was used to quantify person-level indices of magnitude and stability of change. Beta regression was used to examine associations between intra-individual variability and stability and proportion of opioid-use days, when controlling for overall intensity of affect and craving. Results suggested that greater magnitude of craving variability was associated with opioid use on a greater proportion of days, particularly among individuals with lower average craving. Low average positive affect was also associated with higher proportion of days of use. Individuals who experience substantial craving variability in the context of lower average craving may be particularly vulnerable to opioid use during treatment. Ongoing assessment of craving may be useful in identifying treatment needs. Examining correlates of intra-individual variability and stability in MOUD treatment remains a relevant direction for future work.

The Feasibility and Utility of Harnessing Digital Health to Understand Clinical Trajectories in Medication Treatment for Opioid Use Disorder: D-TECT Study Design and Methodological Considerations

Introduction

Across the U.S., the prevalence of opioid use disorder (OUD) and the rates of opioid overdoses have risen precipitously in recent years. Several effective medications for OUD (MOUD) exist and have been shown to be life-saving. A large volume of research has identified a confluence of factors that predict attrition and continued substance use during substance use disorder treatment. However, much of this literature has examined a small set of potential moderators or mediators of outcomes in MOUD treatment and may lead to over-simplified accounts of treatment non-adherence. Digital health methodologies offer great promise for capturing intensive, longitudinal ecologically-valid data from individuals in MOUD treatment to extend our understanding of factors that impact treatment engagement and outcomes.

Methods

This paper describes the protocol (including the study design and methodological considerations) from a novel study supported by the National Drug Abuse Treatment Clinical Trials Network at the National Institute on Drug Abuse (NIDA). This study (D-TECT) primarily seeks to evaluate the feasibility of collecting ecological momentary assessment (EMA), smartphone and smartwatch sensor data, and social media data among patients in outpatient MOUD treatment. It secondarily seeks to examine the utility of EMA, digital sensing, and social media data (separately and compared to one another) in predicting MOUD treatment retention, opioid use events, and medication adherence [as captured in electronic health records (EHR) and EMA data]. To our knowledge, this is the first project to include all three sources of digitally derived data (EMA, digital sensing, and social media) in understanding the clinical trajectories of patients in MOUD treatment. These multiple data streams will allow us to understand the relative and combined utility of collecting digital data from these diverse data sources. The inclusion of EHR data allows us to focus on the utility of digital health data in predicting objectively measured clinical outcomes.

Discussion

Results may be useful in elucidating novel relations between digital data sources and OUD treatment outcomes. It may also inform approaches to enhancing outcomes measurement in clinical trials by allowing for the assessment of dynamic interactions between individuals' daily lives and their MOUD treatment response.

Clinical Trial Registration

Identifier: NCT04535583.