Psychometric properties of the adjective rating scale for withdrawal across treatment groups, gender, and over time

Hyperbaric Oxygen Therapy for Pain, Opioid Withdrawal, and Related Symptoms: A Pilot Randomized Controlled Trial

BACKGROUND

Pain, drug cravings, and opioid withdrawal symptoms can interfere with substance use disorder or opioid tapering treatment goals.

AIM

This pilot study investigated the feasibility of a protocol designed to test opioid withdrawal symptom relief relative to a sham condition after two consecutive days of hyperbaric oxygen therapy (HBOT) for adults prescribed daily methadone for opioid use disorder.

METHOD

Using a double-blind protocol, eight adults were randomized to receive either a full 90-minute HBOT dose in a pressurized chamber with 100% oxygen at 2.0 atmospheres absolute (ATA) or a sham condition receiving 21% oxygen (equivalent to room air within the chamber) at a minimal pressure of ≤1.3 ATA. Measures included study retention, treatment satisfaction, and pre- and post-intervention effects for opioid withdrawal symptoms, drug cravings, pain intensity and interference, sleep quality, and mood.

RESULTS

Study retention and treatment satisfaction was high. All measurements improved more, on average, for participants receiving full-dose HBOT treatment than among participants receiving sham treatments except for clinically observed withdrawal symptoms. The largest positive effects were observed in measurements of pain intensity and drug craving.

CONCLUSIONS

These pilot results provide evidence to support a fully powered study of HBOT as a potential treatment adjunct for adults receiving methadone for opioid use disorder. Trends towards symptom improvements were detected from pre- to post-HBOT in the full treatment arm versus sham condition. More research into novel non-pharmacologic options to relieve distressing symptoms related to pain and opioid use disorder is essential to improve clinical outcomes.

Hyperbaric Oxygen to Assist Adults With Opioid Use Disorder in Reducing Methadone Dose

ABSTRACT

Opioid withdrawal symptoms can interfere with substance use disorder treatment goals. This study investigated the acceptability, feasibility, and treatment effects of hyperbaric oxygen therapy (HBOT) as an adjunct to reduce withdrawal symptoms for adults initiating a medically supervised methadone dose reduction. Adults prescribed methadone for opioid use disorder were randomized into either a hyperbaric oxygen group (n = 17) or an attention control group (n = 14). The study site was an outpatient opioid treatment program in the northwestern United States. Participants were asked to attend five consecutive daily 90-minute HBOT sessions offered at 2.0 atmospheres absolute with 100% oxygen in a pressurized chamber. Treatment attendance and reported satisfaction were measures of acceptability and feasibility. Medication doses were tracked posttreatment at 1 week, 1 month, and 3 months. Withdrawal symptoms were assessed at baseline and daily during the 5-day intervention period. After randomization, 13 (76.5%) followed through with medical screening and HBOT sessions, and of those, nine (69.2%) completed all five 90-minute HBOT sessions. At 3 months, the treatment group maintained, on average, a 4.3-mg methadone dose reduction compared with an average reduction of 0.25 mg for control group participants. Opioid withdrawal symptoms were reduced after Day 1 of HBOT by twice as much, on average, compared with the control condition. Satisfaction surveys found participants were generally satisfied with ease and comfort of the treatment. The evidence that HBOT is an acceptable, feasible adjunct warrants future trials to determine more conclusively effects on withdrawal symptoms associated with methadone dose taper.

Clinical and psychological factors associated with interdose opioid withdrawal in chronic pain population

BACKGROUND

The DSM-5 diagnostic criteria for Prescription Opioid-Use Disorder (POUD) have undergone some significant changes. One of the most controversial changes has been the elimination of the withdrawal symptoms criterion when opioid use is under appropriate medical supervision. For this reason, the goal of this study was to analyze factors associated with opioid withdrawal in patients with chronic non-cancer pain (CNCP).

METHODS

This cross-sectional descriptive study involved 404 patients who use prescription opioids for long-term treatment (≥90 days) of CNCP. Measures included sociodemographic and clinical characteristics, POUD, withdrawal symptoms, craving, anxiety-depressive symptoms, and pain intensity and interference.

RESULTS

Forty-seven percent (n = 193) of the sample reported moderate-severe withdrawal symptoms, which were associated with lower age, higher daily morphine dose and duration of treatment with opioids, moderate-severe POUD, use of psychotropic drugs, higher anxiety-depressive symptoms, and greater pain intensity and interference (p < .05). Binary logistic regression analysis showed that moderate-severe POUD (OR = 2.82), anxiety (OR = 2.21), depression (OR = 1.81), higher pain interference (OR = 1.05), and longer duration of treatment with opioids were the strongest factors associated with moderate-severe withdrawal symptoms (p < .05).

CONCLUSION

Psychological factors seem to play a key role in the severity of withdrawal symptoms. Since greater intensity of these symptoms increases the risk of developing POUD, knowing the factors associated with withdrawal may be useful in developing preventive psychological interventions.

Testing for response shift in treatment evaluation of change in self-reported psychopathology amongst secondary psychiatric care outpatients

OBJECTIVES

If patients change their perspective due to treatment, this may alter the way they conceptualize, prioritize, or calibrate questionnaire items. These psychological changes, also called "response shifts," may pose a threat to the measurement of therapeutic change in patients. Therefore, it is important to test the occurrence of response shift in patients across their treatment.

METHODS

This study focused on self-reported psychological distress/psychopathology in a naturalistic sample of 206 psychiatric outpatients. Longitudinal measurement invariance tests were computed across treatment in order to detect response shifts.

RESULTS

Compared with before treatment, post-treatment psychopathology scores showed an increase in model fit and factor loading, suggesting that symptoms became more coherently interrelated within their psychopathology domains. Reconceptualization (depression/mood) and reprioritization (somatic and cognitive problems) response shift types were found in several items. We found no recalibration response shift.

CONCLUSION

This study provides further evidence that response shift can occur in adult psychiatric patients across their mental health treatment. Future research is needed to determine whether response shift implies an unwanted potential bias in treatment evaluation or a desired cognitive change intended by treatment.

Withdrawal symptoms predict prescription opioid dependence in chronic pain patients

BACKGROUND

The last version of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) includes substantial changes for prescription opioid-use disorder (POUD). After its removal as a criterion, the goal of this study was to estimate the prevalence of withdrawal symptoms in long-term users of prescription opioids and its association with the new DSM-5 POUD classification.

METHODS

Data were collected from 215 long-term consumers of opioid medication who were chronic non-cancer pain patients. Participants completed sociodemographic, Adjective Rating Scale for Withdrawal (ARSW), opioid treatment characteristics, POUD criteria (DSM-5), and pain intensity measurements.

RESULTS

26.6% of the participants were classified with moderate to severe POUD. Higher intensity of withdrawal symptoms was found in patients with moderate/severe POUD, younger age, and higher pain intensity (p < .01). Anxiolytics (p < .01) and antidepressants use (p < .05) and percentage of smokers (p < .05) were significantly higher in patients with severe withdrawal. Logistic regression analyses suggested moderate [odds ratio (OR) = 3.25] and severe (OR = 10.52) withdrawal as the strongest predictor of POUD. Age, anxiolytics use, and smoking were also associated with POUD, but multilevel analysis showed that these variables do not moderate the association between withdrawal intensity and POUD.

CONCLUSION

Escalation of withdrawal intensity during opioid treatment can be used to identify patients with POUD. Further studies are needed to assess the clinical implications of these findings during long-term opioid therapy for chronic pain.

Engagement in online pain self-management improves pain in adults on medication-assisted behavioral treatment for opioid use disorders

INTRODUCTION

Persistent pain has been recognized as an important motivator that can lead individuals to misuse opioids. New approaches are needed to test pain treatments that can improve outcomes for people with persistent pain in medication-assisted behavioral treatment for opioid use disorder. This study piloted an online pain self-management program to explore acceptability and treatment effects.

METHODS

A sample of 60 adults diagnosed with chronic non-cancer pain and receiving medication-assisted behavioral treatment at one of two clinics were randomized into either treatment group with access to an online pain management program or waitlist attention control. Participants received online surveys via email at baseline and post-treatment at week 8.

RESULTS

The majority of participants (n = 44; 73%) reported that their first use of opioids was in response to a painful event. Those who engaged in the online program had significantly lower pain interference, pain severity, opioid misuse measures, and depressive symptoms after eight weeks while pain self-efficacy was increased.

CONCLUSION

Our results suggest the online pain self-management program content may be helpful for managing physical and emotional symptoms experienced by individuals with co-occurring pain and opioid use disorders. To improve online engagement, more support is necessary to assist with technology access and completion of online activities.

The Adjective Rating Scale for Withdrawal: Validation of its ability to assess severity of prescription opioid misuse

BACKGROUND

Withdrawal symptoms have been widely shown to be a useful indicator of the severity of opioid dependence. One of the most used instruments to assess them is the Adjective Rating Scale for Withdrawal (ARSW). However, there is a lack of adaptations and validations for its use with prescription opioids, even less for chronic pain patients under treatment with these analgesics. Thus, the aims of this study were to analyse the psychometric properties and invariance across gender of the ARSW in a sample of chronic noncancer pain patients.

METHODS

Data were collected from 208 consumers of opioid medication, chronic noncancer pain patients. Participants completed sociodemographic, ARSW, prescription opioid dependence (DSM-IV-TR) and prescription opioid-use disorder (DSM-5) measurements. Gender invariance was assessed through multigroup confirmatory factor analysis (CFA).

RESULTS

The ARSW showed a unidimensional factor structure and high internal consistency (Cronbach's alpha = 0.85). Multigroup CFA showed configural, metric, scalar and strict invariances of ARSW across gender. Predictive validity analyses indicated that ARSW has good capacity for identifying the severity of prescription opioid-use disorder, using both DSM-IV-TR and DSM-5 criteria.

CONCLUSIONS

These findings show that the ARSW is a valid and reliable tool for use in the assessment of the withdrawal of prescription opioids in chronic pain patients under treatment with these analgesics, regardless of their gender.

SIGNIFICANCE

Findings supported the reliability and validity of the ARSW to assess withdrawal of prescription opioids in individuals with chronic noncancer pain. The instrument can be applied indistinctly in men and women. An increase in the ARSW scores could be used as an indicator of potential risk of prescription opioid-use disorder during long-term treatments.

Sex differences in opioid use and medical issues during buprenorphine/naloxone treatment

BACKGROUND

There are sex differences in buprenorphine/naloxone clinical trials for opioid use. While women have fewer opioid-positive urine samples, relative to men, a significant decrease in opioid-positive samples was found during treatment for men, but not women. In order to inform sex-based approaches to improve treatment outcomes, research is needed to determine if opioid use, and predictors of opioid use, differs between men and women during treatment.

OBJECTIVES

To test for sex differences in opioid use during a buprenorphine/naloxone clinical trial and determine if sex differences exist in the associations between addiction-related problem areas and opioid use over the course of the trial.

METHOD

This secondary data analysis of the National Drug Abuse Treatment Clinical Trials Network (CTN) 0003 examined sex differences (men = 347, women = 169) in opioid-positive samples in a randomized clinical trial comparing 7-day vs. 28-day buprenorphine/naloxone tapering strategies. Addiction-related problem areas were defined by Addiction Severity-Lite (ASI-L) domain composite scores.

RESULTS

Women were more likely than men to use opioids during the course of the buprenorphine/naloxone clinical trial (B = .33, p = .01) and medical issues were positively related to submitting an opioid-positive sample during treatment for women (B = 1.67, p = .01). No ASI-L domain composite score was associated with opioid-positive samples during treatment for men.

CONCLUSION

Women were more likely than men to use opioids during the course of the buprenorphine/naloxone clinical trial, and medical issues predicted opioid use during treatment for women but not men. Complementary treatment for medical problems during opioid replacement therapy may benefit women.

Sex as a biological variable: Drug use and abuse

The study of sex as a biological variable is a necessary emphasis across a wide array of endpoints, including basic neuroscience, medicine, mental health, physiology and behavior. The present review summarizes work from clinical and preclinical populations on sex differences in drug use and abuse, ranging from initiation to escalation/dysregulation and from drug cessation/abstinence to relapse. These differences are analyzed in the context of the addiction cycle conceptualization of Koob and his colleagues and address patterns of drug use (binge/intoxication), motivation underlying its use (withdrawal/negative affect) and likelihood and causes of craving and relapse of drug taking (preoccupation/anticipation). Following this overview, an assessment of the basis for the reported sex differences is discussed in the context of the affective (rewarding and aversive) properties of drugs of abuse and how such properties and their balance vary with sex and contribute to drug intake. Finally, the interaction of sex with several experiential (drug history) and subject (age) factors and how these interactions affect reward and aversion are discussed to highlight the importance of understanding such interactions in predicting drug use and abuse. We note that sex as a biological variable remains one of critical evaluation and that such investigations of sex differences in drug use and abuse continue and be expanded to assess all facets of their mediation, including these affective properties, how their balance may be impacted by the multiple conditions under which drugs are taken and how this overall balance affects drug use and addiction vulnerability.

Psychometric evaluation of the 10-item Short Opiate Withdrawal Scale-Gossop (SOWS-Gossop) in patients undergoing opioid detoxification

INTRODUCTION

The Short Opiate Withdrawal Scale (SOWS)-Gossop is a 10-item questionnaire developed to evaluate opioid withdrawal symptom severity. The scale was derived from the original 32-item Opiate Withdrawal Scale in order to reduce redundancy while providing an equally sensitive measure of opioid withdrawal symptom severity appropriate for research and clinical practice. The objective of this study was to examine the psychometric properties and provide score interpretation guidelines for the SOWS-Gossop 10-item version.

METHODS

Blinded, pooled data from two trials assessing the efficacy of lofexidine hydrochloride in reducing withdrawal symptoms in patients undergoing opioid detoxification were used to evaluate the quantitative psychometric properties and score interpretation of the SOWS-Gossop.

RESULTS

Five hundred fifty-five (N=555) observations were available at baseline with numbers decreasing to n=213 at day 7. Mean (standard deviation) SOWS-Gossop scores were 10.4 (6.86) at baseline, 8.7 (6.49) on day 1, 10.5 (7.21) on day 2, and 3.1 (3.95) on day 7. Confirmatory factor analysis indicated that the SOWS-Gossop items loaded on a single factor consistent with a single total score. Intra-class correlations (95% confidence interval) were 0.78 (0.70-0.85) between baseline and day 1, 0.84 (0.79-0.89) between days 4 and 5, and 0.88 (0.83-0.91) between days 6 and 7, demonstrating good test-retest reliability. Mean SOWS-Gossop scores varied significantly (p<0.0001) by Modified Clinical Global Impression severity groups supporting known-groups validity. Most correlations with conceptually similar instruments were over 0.4, providing evidence of construct validity. Results suggest that a change score of approximately 2-4 points is likely a small but meaningful improvement on the SOWS-Gossop Total Score.

CONCLUSIONS

The findings of this study indicate that the SOWS-Gossop includes concepts that are relevant to patients' experiences with opioid withdrawal and has excellent psychometric properties. The SOWS-Gossop is an appropriate, precise, and sensitive measure to evaluate the symptoms of acute opioid withdrawal in research or clinical settings.

Endogenous opiates and behavior: 2014

This paper is the thirty-seventh consecutive installment of the annual review of research concerning the endogenous opioid system. It summarizes papers published during 2014 that studied the behavioral effects of molecular, pharmacological and genetic manipulation of opioid peptides, opioid receptors, opioid agonists and opioid antagonists. The particular topics that continue to be covered include the molecular-biochemical effects and neurochemical localization studies of endogenous opioids and their receptors related to behavior (endogenous opioids and receptors), and the roles of these opioid peptides and receptors in pain and analgesia (pain and analgesia); stress and social status (human studies); tolerance and dependence (opioid mediation of other analgesic responses); learning and memory (stress and social status); eating and drinking (stress-induced analgesia); alcohol and drugs of abuse (emotional responses in opioid-mediated behaviors); sexual activity and hormones, pregnancy, development and endocrinology (opioid involvement in stress response regulation); mental illness and mood (tolerance and dependence); seizures and neurologic disorders (learning and memory); electrical-related activity and neurophysiology (opiates and conditioned place preferences (CPP)); general activity and locomotion (eating and drinking); gastrointestinal, renal and hepatic functions (alcohol and drugs of abuse); cardiovascular responses (opiates and ethanol); respiration and thermoregulation (opiates and THC); and immunological responses (opiates and stimulants). This paper is the thirty-seventh consecutive installment of the annual review of research concerning the endogenous opioid system. It summarizes papers published during 2014 that studied the behavioral effects of molecular, pharmacological and genetic manipulation of opioid peptides, opioid receptors, opioid agonists and opioid antagonists. The particular topics that continue to be covered include the molecular-biochemical effects and neurochemical localization studies of endogenous opioids and their receptors related to behavior (endogenous opioids and receptors), and the roles of these opioid peptides and receptors in pain and analgesia (pain and analgesia); stress and social status (human studies); tolerance and dependence (opioid mediation of other analgesic responses); learning and memory (stress and social status); eating and drinking (stress-induced analgesia); alcohol and drugs of abuse (emotional responses in opioid-mediated behaviors); sexual activity and hormones, pregnancy, development and endocrinology (opioid involvement in stress response regulation); mental illness and mood (tolerance and dependence); seizures and neurologic disorders (learning and memory); electrical-related activity and neurophysiology (opiates and conditioned place preferences (CPP)); general activity and locomotion (eating and drinking); gastrointestinal, renal and hepatic functions (alcohol and drugs of abuse); cardiovascular responses (opiates and ethanol); respiration and thermoregulation (opiates and THC); and immunological responses (opiates and stimulants).

Examining the factor structure of the Clinical Opiate Withdrawal Scale: A secondary data analysis from the National Drug Abuse Treatment Clinical Trials Network (CTN) 0003

BACKGROUND

The Clinical Opiate Withdrawal Scale (COWS) is used to assess withdrawal in clinical trials and practice. The aims of this study were to examine the inter-item correlations and factor structure of the COWS in opioid-dependent men and women.

METHODS

This is a secondary data analysis of the National Drug Abuse Treatment Clinical Trials Network 0003, a randomized clinical trial that compared buprenorphine/naloxone tapering strategies. The trial included 11 sites in 10 US cities. Participants were opioid-dependent individuals (n=516) that had data on the COWS. The COWS at study baseline was analyzed in this study.

RESULTS

Inter-item correlations showed weak to moderate relationships among the items. A 1-factor model did not fit the data for men (comparative fit index (CFI)=.801, root mean square error of approximation (RMSEA)=.073, weighted root mean square residual (WRMR)=1.132) or women (CFI=.694, RMSEA=.071, WRMR=.933), where resting pulse rate was not related to withdrawal for men, and yawning and gooseflesh skin was not related to withdrawal for women. A reduced model comprised of only the 8 items that were significantly related to the construct of withdrawal in both men and women, and an exploratory 2-factor model, were also assessed but not retained due to inconsistencies across gender.

CONCLUSIONS

When traditional psychometric models are applied to the COWS, it appears that the scale may not relate to a single underlying construct of withdrawal. Further research testing the hypothesized factor structure in other opioid-dependent samples is needed.