No change of sleep after 6 and 12 months of methadone maintenance treatment

Prevalence of high impulsivity and its relation to sleep indices in opioid use disorder patients receiving methadone maintenance treatment

BACKGROUND

The relation between impulsivity and sleep indices is not well determined in patients receiving methadone maintenance treatment (MMT).

AIMS

to evaluate high impulsivity prevalence, its risk factors and relation with sleep indices.

METHODS

a random MMT sample (n = 61) plus MMT current cocaine users (n = 20) were assessed for impulsivity (Barratt impulsivity scale [BIS-11] and Balloon Analogue Risk task [BART]), sleep quality (Pittsburg Sleep Quality Index [PSQI]), sleepiness (The Epworth sleepiness scale [ESS]), and substance in urine.

RESULTS

81 patients, aged 56.6 ± 10, 54.3% tested positive to any substance, 53.1% with poor sleep (PSQI>5) and 43.2% with daytime sleepiness (ESS >7) were studied. Impulsivity (BIS-11 ≥ 72) prevalence was 27.9% (of the representative sample), and 30.9% of all participants. These patients characterized with any substance and shorter duration in MMT with no sleep indices or other differences including BART balloon task performance (that was higher only in any substance than non-substance user group). However, impulsive score linearly correlated with daytime sleepiness (R = 0.2, p = 0.05). Impulsivity proportion was lowest among those with no cocaine followed by cocaine use and the highest in those who used cocaine and opiates (20.8%, 33.3% and 60% respectively, p = 0.02), as daily sleep (38.3%, 42.1% and 60%, p = 0.3) although not statistically significant.

CONCLUSION

Daytime sleepiness correlated with impulsivity, but cocaine usage is the robust factor. Further follow-up is warranted to determine whether substance discontinuing will lead to a reduction in impulsivity, and improved vigilance. Sleep quality did not relate to daytime sleepiness and impulsivity and need further research.

Sleep Health Among Adults in Outpatient Opioid Use Disorder Treatment: A Systematic Review

The current systematic review synthesized available original research on objective and self-reported sleep health dimensions among adults aged 18 to 50 years in outpatient treatment for opioid use disorder (OUD). A comprehensive search was conducted using multiple electronic databases followed by screening 2,738 records published in English from the inception of each database to September 14, 2021. Quality was assessed with the Mixed Methods Appraisal Tool (version 2001). Fifty nine studies-50 descriptive (21 longitudinal, 18 cross-sectional, and 11 case control), seven interventional (five non-randomized), and two mixed/multi method designs-were included, comprising 18,195 adults with mean ages ranging from 23 to 49 years (mean age = 37.5 [SD = 5.9] years; 54.4% female) with OUD and 604 comparison participants without OUD. Studies were predominantly observational with various designs with self-report and objective measures with participants at various points in treatment. More work is needed to understand the multidimensional depth of sleep health in adults with OUD. Optimizing sleep health in adults with OUD may improve their addiction trajectory and should be a priority in practice and research. [Journal of Psychosocial Nursing and Mental Health Services, 62(1), 19-26.].

Weight change in a national cohort of U.S. Military Veterans engaged in medication treatment for opioid use disorder

Medication treatments for opioid use disorder (MOUD) save lives and improve outcomes for countless individuals. However, data suggest the potential for significant weight gain during methadone treatment and little is known about weight change during buprenorphine treatment. Using Veteran Health Administration administrative data from fiscal year 2017 to fiscal year 2019, two cohorts were created: 1) Veterans diagnosed with opioid use disorder (OUD) taking methadone (N = 1425); and 2) Veterans diagnosed with OUD taking buprenorphine (N = 3756). Linear mixed models were used to analyze weight change during the first MOUD treatment episode in the observation period. Random slopes and intercepts were included in the model to estimate variation in BMI across individuals and time. The data revealed a slight upward trend in BMI over the course of treatment. Specifically, a daily increase of 0.004 for Veterans in methadone treatment and 0.002 for Veterans in buprenorphine treatment was observed. This translates to a gain of about 10 pounds over the course of 1 year of methadone treatment and 5 pounds for 1 year of buprenorphine treatment for a Veteran of average height and weight. The amount of weight gain in methadone treatment is significantly less than other published findings, but nonetheless indicates that assessment and discussions between patients and providers related to weight may be warranted.

Weight change among patients engaged in medication treatment for opioid use disorder: a scoping review

Background: Medication treatment for opioid use disorder (MOUD) is an instrumental tool in combatting opioid use and overdose. Excess weight gain associated with MOUD initiation is a potential barrier that is not well understood.Objectives: Conduct a scoping review of available studies investigating the effect of MOUD on weight.Methods: Included studies consisted of adults taking any type of MOUD (e.g. methadone, buprenorphine/naloxone, naltrexone) with data on weight or body mass index for at least two time points. Evidence was synthesized using qualitative and descriptive approaches, and predictors of weight gain including demographics, comorbid substance use, and medication dose were examined.Results: Twenty-one unique studies were identified. Most studies were uncontrolled cohort studies or retrospective chart reviews testing the association between methadone and weight gain (n = 16). Studies examining 6 months of methadone treatment reported weight gain ranging from 4.2 to 23.4 pounds. Women appear to gain more weight from methadone than men, while patients using cocaine may gain less. Racial and ethnic disparities were largely unexamined. Only three case reports and two nonrandomized studies examined the effects of either buprenorphine/naloxone or naltrexone, and potential associations with weight gain were not clear.Conclusion: The use of methadone as an MOUD appears to be associated with mild to moderate weight gain. In contrast, there is little data supporting or refuting weight gain with buprenorphine/naloxone or naltrexone. Providers should discuss the potential risk for weight gain with patients as well as prevention and intervention methods for excess weight gain.

Sleep and Rest-Activity Rhythms in Recovering Patients with Severe Concurrent Mental and Substance Use Disorder: A Pilot Study

Objective: Mental health and substance use disorders are commonly associated with disrupted sleep and circadian rest-activity rhythms. How these disorders in combination relate to sleep and circadian organization is not well studied. We provide here the first quantitative assessment of sleep and rest-activity rhythms in inpatients with complex concurrent disorders, taking into account categories of substance use (stimulant vs. stimulant and opioid use) and psychiatric diagnosis (psychotic disorder and mood disorder). We also explore how sleep and rest-activity rhythms relate to psychiatric functioning. Methods: A total of 44 participants (10 female) between the age of 20-60 years (median = 29 years) wore wrist accelerometers over 5-70 days and completed standardized questionnaires assessing chronotype and psychiatric functioning (fatigue, psychiatric symptom severity, and impulsiveness). To examine potential influences from treatment, we computed (1) length of stay; (2) days of abstinence from stimulants and opioids as a measure of withdrawal; and (3) a sedative load based on prescribed medications. Results: Participants exhibited a sustained excessive sleep duration, frequent nighttime awakenings, and advanced rest-activity phase related to sedative load. Sleep disruptions were elevated in participants with a history of opioid use. Patients with a psychotic disorder showed the longest sleep and most fragmented and irregular rest-activity patterns. Non-parametric circadian rhythm analysis revealed a high rhythm amplitude by comparison with population norms, and this was associated with greater psychiatric symptom severity. Psychiatric symptom severity was also associated with greater fatigue and later MCTQ chronotype. Conclusions: This pilot study provides initial information on the prevalence and severity of sleep and circadian rhythm disturbances in individuals with severe concurrent disorders. The results underline the need for further studies to start to understand the role of sleep in the disease and recovery process in this understudied population.

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).

Effects of methadone, buprenorphine, and naltrexone on actigraphy-based sleep-like parameters in male rhesus monkeys

Opioid use disorder (OUD) has been associated with the emergence of sleep disturbances. Although effective treatments for OUD exist, evidence suggests that these treatments also may be associated with sleep impairment. The extent to which these effects are an effect of OUD treatment or a result of chronic opioid use remains unknown. We investigated the acute effects of methadone, buprenorphine, and naltrexone on actigraphy-based sleep-like parameters in non-opioid-dependent male rhesus monkeys (Macaca mulatta, n = 5). Subjects were fitted with actigraphy monitors attached to primate collars to measure sleep-like parameters. Actigraphy recordings were conducted under baseline conditions, or following acute injections of vehicle, methadone (0.03-1.0 mg/kg, i.m.), buprenorphine (0.01-1.0 mg/kg, i.m.), or naltrexone (0.03-1.0 mg/kg, i.m.) in the morning (4 h after "lights on") or in the evening (1.5 h before "lights off"). Morning and evening treatments with methadone or buprenorphine significantly increased sleep latency and decreased sleep efficiency. The effects of buprenorphine on sleep-like measures resulted in a biphasic dose-response function, with the highest doses not disrupting actigraphy-based sleep. Buprenorphine induced a much more robust increase in sleep latency and decrease in sleep efficiency compared to methadone, particularly with evening administration, and detrimental effects of buprenorphine on sleep-like measures were observed up to 25.5 h after drug injection. Treatment with naltrexone, on the other hand, significantly improved sleep-like measures, with evening treatments improving both sleep latency and sleep efficiency. The currently available pharmacotherapies for OUD significantly alter sleep-like parameters in non-opioid-dependent monkeys, and opioid-dependent mechanisms may play a significant role in sleep-wake regulation.

Poor Sleep Quality and Other Risk Factors for Unemployment Among Patients on Opioid Agonist Treatment

Purpose:

Patients with opioid use disorder (OUD) face high rates of unemployment, putting them at higher risk of treatment nonadherence and poor outcomes, including overdose death. The objective of this study was to investigate sleep quality and its association with other biopsychosocial risk factors for unemployment in patients receiving opioid agonist treatment (OAT) for OUD.

Methods:

Using a cross-sectional survey design, participants from 3 OAT programs for OUD completed questionnaires to measure sleep quality (Pittsburgh Sleep Quality Index [PSQI]); pain disability; catastrophic thinking; injustice experience; quality of life; and self-assessed disability. Spearman’s rank correlation was used to test for associations between sleep quality and other study variables.

Results:

Thirty-eight participants completed the study, with mean age 45.6 ± 10.9 years, 27 (71.1%) males, and 16 (42.1%) reporting a high school diploma/equivalent certification as the highest level of academic attainment. Poor sleep quality (defined as PSQI > 5) was identified in 29 participants (76.3%) and was positively correlated with pain disability (r = 0.657, P < .01), self-assessed disability (r = 0.640, P < .001), symptom catastrophizing (r = 0.499, P < .001), and injustice experience (r = 0.642, P < .001), and negatively correlated with quality of life (r = −0.623, P < .001).

Conclusions:

There was a high prevalence of poor sleep quality in patients with OUD on OAT and this was associated with multiple known risk factors for unemployment. These findings warrant the consideration of regular screening for sleep problems and the inclusion of sleep-related interventions to improve sleep quality, decrease the unemployment rate, and enhance the recovery process for individuals with OUD undergoing OAT.

Associations Among Sleep Disturbance, Pain Catastrophizing, and Pain Intensity for Methadone-maintained Patients With Opioid Use Disorder and Chronic Pain

OBJECTIVE

This study examined the cross-sectional associations among pain intensity, pain catastrophizing, and sleep disturbance among patients receiving methadone maintenance treatment (MMT) for opioid use disorder (OUD) and reporting co-occurring chronic pain.

MATERIALS AND METHODS

Participants were 89 individuals with OUD and chronic pain drawn from a larger cross-sectional study of 164 MMT patients who completed a battery of self-report measures. The authors conducted 6 mediation models to test all possible pathways (ie, each variable tested as an independent variable, mediator, or dependent variable).

RESULTS

The only significant mediation effect was an indirect effect of sleep disturbance on pain intensity through pain catastrophizing. That is, greater sleep disturbance was associated with greater pain catastrophizing, which in turn was associated with greater pain intensity.

DISCUSSION

Altogether, findings suggest that the sleep disturbance to pain catastrophizing to pain intensity pathway may be a key mechanistic pathway exacerbating pain issues among MMT patients with OUD and chronic pain. These results suggest that interventions targeting sleep disturbance may be warranted among MMT patients with OUD and chronic pain. Future work in this area with longitudinal data is warranted.

Assessment of Subjective Sleep Problems in Men With Opioid Dependence Maintained on Buprenorphine

OBJECTIVES

To assess the rates of sleep disturbances in male patients with opioid dependence maintained on buprenorphine and to assess the factors associated with sleep disturbances in this population.

METHODS

Observational, cross-sectional study. Male patients with opioid dependence aged 18 years and older, and started on buprenorphine at least 6 months before were screened. Those with history of comorbid psychiatric illnesses (except sleep disorders), on any other substance in high-risk category (based on WHO-Alcohol Smoking Substance Involvement Screening Test (ASSIST)), or on any other psychotropic medications (in addition to OAT with buprenorphine) were excluded. Sleep was assessed using the Pittsburgh Sleep Quality Index (PSQI), Sleep-50, and Epworth Sleepiness Scale (ESS). Each participant was interviewed in a single session lasting 60 minutes.

RESULTS

One hundred six participants were included. Their mean age was 41.1 (SD 14.3) years. The participants had been on OAT with buprenorphine for a median duration of 60 months (IQR 17-120), with excellent adherence rate in past 1 month. The mean current dose of buprenorphine was 10.2 (SD 3.8) mg per day. The mean subjective total sleep time was 403.5 minutes (SD 94.8) and the median sleep latency was 35 minutes (IQR 18.8-62.5). The mean PSQI score was 6.6 (SD 3.4). Nearly 63% (n = 67) participants had PSQI scores more than 5 (PSQI > 5) suggesting sleep problems. Sociodemographic, substance use, and treatment variables were compared between participants who scored more than 5 and those who scored less than 5 on PSQI. No significant difference was found between the 2 groups.

CONCLUSIONS

Substantial proportion of male patients with opioid dependence maintained on buprenorphine have sleep problems. The sleep problems in buprenorphine-maintained patients seem to be independent of substance use and treatment-related attributes.

The relationship between opioid use and obstructive sleep apnea: A systematic review and meta-analysis

We conducted a systematic review to address limited evidence suggesting that opioids may induce or aggravate obstructive sleep apnea (OSA). All clinical trials or observational studies on adults from 1946 to 2018 found through MEDLINE, EMBASE, CINAHL, PsycINFO, Cochrane Databases were eligible. We assessed the quality of the studies using published guidelines. Fifteen studies (six clinical trials and nine observational) with only two of good quality were included. Fourteen studies investigated the impact of opioids on the presence or severity of OSA, four addressed the effects of treatment for OSA  in opioid users, and none explored the consequences of opioid use in individuals with OSA. Eight of 14 studies found no significant relationship between opioid use or dose and apnea-hypopnea index (AHI) or degree of nocturnal desaturation. A random-effects meta-analysis (n = 10) determined the pooled mean change in AHI associated with opioid use of 1.47/h (-2.63-5.57; I² = 65%). Three of the four studies found that continuous positive airway pressure (CPAP) therapy reduced AHI by 17-30/h in opioid users with OSA. Bilevel therapy with a back-up rate and adaptive servo-ventilation (ASV) without mandatory pressure support successfully normalized AHI (≤5) in opioid users. Limited by a paucity of good-quality studies, our review did not show a significant relationship between opioid use and the severity of OSA. There was some evidence that CPAP, Bilevel therapy, and ASV alleviate OSA for opioid users, with higher failure rates observed in patients on CPAP in opioid users.

Improvement in Cognitive Performance after One Year of Methadone Maintenance Treatment

Individuals with substance use disorders are known to suffer from stress, poor sleep, and cognitive impairment. We investigated whether individuals with opioid use disorder would improve cognitive performance following a year of methadone maintenance treatment (MMT). Perceived Stress Scale (PSS), the Pittsburgh Sleep Quality Index (PSQI), and a standardized computerized cognitive battery were administered at admission (T0) to 29 patients, and repeatedly following one year of MMT (T1) by 19 patients. Admission measures did not differ between those who studied once or twice. Patients who perceived very high stress levels (PSS ≥24) at T0 (11, 37.9%) had lower computerized global cognitive scores (67.6±16.2 vs. 90.9±12.5 p≤0.0005). At T1, PSS and PSQI scores improved significantly among 11 patients with no substance abuse, but worsened among 8 with substance abuse (PSS p(interaction)=0.009, p(groups)=0.005, PSQI p(interaction)=0.01, p(groups)=0.04). Global cognitive score improved at T1 for the entire sample (81.8±20.1 to 89.2±13.8, p=0.05). Differentiation by high stress at T0 or by substance abuse at T1 subgroups showed that improvement was observed by those with very low cognitive scores at T0. Patients with poor cognition may improve following one year of MMT, due to stress and substance abuse reduction. Interventions for stress reduction are recommended.

The Relevance of Dual Diagnoses among Drug-Dependent Patients with Sleep Disorders

BACKGROUND

Sleep disorders are often associated with drug use. Nearly 70% of patients admitted for detoxification report sleep problems. Dual disorder (DD) is the comorbidity between mental disorders in general and disorders related to psychoactive substance use. The association between substance use and sleep disorders (SD) appears to be bidirectional. Our objective is to analyze the association between sleep disturbance history and drug use pattern (alcohol, cannabis, opioids, and cocaine).

METHODS

Analysis of data in the first interview at the Addictions Unit of the Department of Psychiatry at the University of Salamanca Health Care Complex between October 2017 and January 2020. The sample consists of 398 patients. We studied the association between different variables: origin of patients (Inpatient Dual Diagnosis Detoxification Unit (IDDDU) vs. Outpatient Drug Clinic (ODC), presence of affective disorder, psychotic disorder, type of drug used, and treatment.

RESULTS

Of patients with DD, 62% had more delayed sleep induction, sleep fragmentation, early awakening, and nightmares. Outpatients had more difficulty falling asleep because, in many cases, they had not previously sought any medical assistance. On the other hand, 67% of the patients with insomnia presented depression.

CONCLUSIONS

There is evidence of a harmful association between DD and SD.

[Characteristics of sleep disturbances related to substance use disorders]

Sleep disturbances are frequently observed in patients with substance use disorders during active use as well as in withdrawal period and in remission. However, there is limited information about the association between sleep disturbances and substance use disorders. This review summarizes results of the studies on specific characteristics of sleep disturbances related to alcohol, opioids and psychostimulants (cocaine) use. Data on objective and subjective measurements of sleep characteristics at different stages of the course of an addiction disorder (active use, withdrawal, remission) are presented.

Sleeping Patterns in Patients with Opioid Use Disorder: Effects of Opioid Maintenance Treatment and Detoxification

The aim of the study was to explore whether abstinent patients on recent opioid detoxification or on opioid maintenance treatment suffer from sleeping problems. 199 patients on opioid maintenance treatment (methadone, diacetylmorphine and buprenorphine) or recent opioid detoxification were included in this exploratory cross-sectional study. We used the Pittsburgh Sleep Quality Index (PSQI) and the Regensburger Insomnia Scale (RIS) in order to assess potential sleeping problems. There was a significant effect of the condition "opioid maintenance" or "recent opioid detoxification" on the total score of PSQI and RIS. All opioid maintenance drugs used by the study population were associated with more sleeping problems compared to the detoxification group when calculated with RIS values. Recently abstinent patients (opioid detoxification) displayed significantly fewer sleep disturbances than opioid-maintained patients. Since sleeping problems can seriously impair treatment success and quality of life, screening for sleep disturbances and their subsequent treatment is of pronounced relevance.

Frequency and correlates of sleep disturbance in methadone and buprenorphine-maintained 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.

Sleep abnormalities associated with alcohol, cannabis, cocaine, and opiate use: a comprehensive review

Sleep abnormalities are associated with acute and chronic use of addictive substances. Although sleep complaints associated with use and abstinence from addictive substances are widely recognized, familiarity with the underlying sleep abnormalities is often lacking, despite evidence that these sleep abnormalities may be recalcitrant and impede good outcomes. Substantial research has now characterized the abnormalities associated with acute and chronic use of alcohol, cannabis, cocaine, and opiates. This review summarizes this research and discusses the clinical implications of sleep abnormalities in the treatment of substance use disorders.

Risk factors for weight gain during methadone maintenance treatment

BACKGROUND

Weight gain was reported during methadone maintenance treatment (MMT). However, its relation to eating habits and specific risk factors, including methadone dose or serum level, was limited. The aims of this study were to characterize risk factors for weight gain and to study current eating habits, food preferences, and nutrition knowledge.

METHODS

Patients with available measures of weight and height (body mass index [BMI]) at admission to MMT and at follow-up, when methadone serum levels were determined (after 1 year or when stabilized) (N = 114), were studied (using the Addiction Severity Index [ASI], drugs in urine, methadone doses, and serum levels). In addition, 109 current patients with available earlier (5.8 ± 2.6 years earlier) BMI completed eating behavior rating and nutrition knowledge questionnaires, and their current and earlier BMI were compared.

RESULTS

The BMI of 114 newly admitted patients increased from 22.5 ± 3.8 to 24.4 ± 4.3 (P < .0005). Once stabilized on methadone, BMI increased further (24.3 ± 4.5 to 25.6 ± 5.0; P < .0005; n = 74), with no change in methadone doses (125.6 ± 32.5 to 128.0 ± 34.1; F = 1.4, P = .2) or serum levels (495.6 ± 263.7 to 539.8 ± 306.2; F = 1.3, P = .2). Repeated-measures analyses revealed that BMI elevation was higher among 45 hepatitis C virus seronegative and 46 non-benzodiazepine-abusing on-admission patients. Those who scored lower on knowledge about healthy diet and showed a higher sweet-foods preference had a higher BMI.

CONCLUSION

BMI increased over time, but independent of methadone dosage and blood levels. As expected, worse diet habits and a desire for sweet foods are related to higher BMI. Paradoxically, healthier status (i.e., hepatitis C seronegative, no benzodiazepine abuse) at admission is predictive of greater weight gain during MMT. Education about nutrition habits is recommended.

The AC/AG Diplotype for the 118A>G and IVS2 + 691G>C Polymorphisms of OPRM1 Gene is Associated with Sleep Quality Among Opioid-Dependent Patients on Methadone Maintenance Therapy

Introduction

Methadone is a full agonist of the opioid receptor mu 1 which is encoded by the OPRM1 gene. Sleep disorders were frequently reported by opioid-dependent patients during methadone maintenance therapy (MMT). It is possible, therefore, that genetic polymorphisms in OPRM1 influence sleep quality among patients on MMT. This study investigated the association of OPRM1 polymorphisms with sleep quality among opioid-dependent patients on MMT.

Methods

The sleep quality of 165 male opioid-dependent patients receiving MMT was evaluated using the Pittsburgh Sleep Quality Index (PSQI). DNA was extracted from whole blood and subjected to polymerase chain reaction (PCR) genotyping.

Results

Patients with IVS2 + 691 CC genotype had higher PSQI scores [mean (SD) = 5.73 (2.89)] compared to those without the IVS2 + 691 CC genotype (IVS2 + 691 GG/GC genotype) [4.92 (2.31)], but the difference did not reach statistical significance (p = 0.081). Patients with combined 118 AA genotype and IVS2 + 691 GC genotype (AC/AG diplotype) had significantly lower PSQI scores [mean (SD) = 4.25 (2.27)] compared to those without the diplotype [5.68 (2.77)] (p = 0.018).

Conclusion

Our study indicates that the AC/AG diplotype for the 118A>G and IVS2 + 691G>C polymorphisms of OPRM1 gene is associated with better sleep quality among males with opioid dependence on MMT.

Achievement of take-home dose privileges is associated with better-perceived sleep and with cognitive status among methadone maintenance treatment patients

OBJECTIVES

Methadone maintenance treatment (MMT) patients may achieve up to a 2-week privilege of methadone take-home doses (THD), which is associated with considerable responsibility. MMT patients are characterized as having poor sleep quality and low cognitive states. We studied sleep indices and cognitive status with respect to THD privileges.

METHODS

A sample of 123 MMT patients stratified by THD groups was studied. Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and the cognitive Clock Drawing Test (CDT) were performed.

RESULTS

Thirty-one of 123 patients never had any THD and 92 did (25 had the maximum of 2 weeks). The never THD had history of longer duration of opiate usage and a shorter period in MMT. They had the highest rates of poor sleep (80.6%, PSQI > 5), daily sleepiness ("fall asleep while talking") (41.9%), and impaired cognitive status (58.1%, CDT < 3), while those who had 2-week privileges had the lowest (56, 8, and 28%, respectively). Logistic regression characterized THD patients as no-benzodiazepine and no-cocaine, short opiate usage duration, low ADHD scores, and no cognitive impairment (CDT = 3) and its interaction with treatment duration.

CONCLUSION

Privileges that reflect patients' abstinence and rehabilitation were also expanded to be associated with better cognitive states. These finding confirm the THD dispensing performance. Including CDT as part of the decision for dispensing THD may be considered.

Sleep disturbances and pain among individuals with prescription opioid dependence

BACKGROUND

Poor sleep quality has been observed in individuals with substance use disorders and is often a trigger for relapse. To date, little research has investigated sleep quality among individuals with prescription opioid (PO) dependence. The present study aimed to address this gap in the literature by examining subjective and objective sleep disturbances among PO dependent individuals.

METHODS

Subjects were 68 non-treatment seeking individuals (33 PO dependent, 35 healthy controls). Subjective sleep was assessed with the Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI). Subjects were admitted for an overnight inpatient hospital stay during which objective sleep data was collected using an actigraphy device. Self-report pain was measured with the Brief Pain Inventory.

RESULTS

Significant group differences in subjective sleep quality were revealed in the PSQI (p<0.01) and ISI (p<0.01). Poor sleep quality (i.e., PSQI total score>5) was identified in 80.6% of the PO group, as compared to 8.8% of the control group (p<.001). Significant group differences in sleep quality were identified in five of six actigraphy variables: total time asleep, sleep efficiency, latency of onset of sleep, total time awake and time mobile. Furthermore, significant associations between pain severity and sleep quality were observed.

CONCLUSIONS

Results indicate high rates of sleep impairment and poor sleep quality among PO dependent individuals. Pain severity was significantly correlated with sleep quality. Although preliminary, the findings highlight the importance of assessing and treating sleep disturbances, as well as pain, among patients with PO dependence.

Response inhibition and psychomotor speed during methadone maintenance: impact of treatment duration, dose, and sleep deprivation

BACKGROUND

In opiate-dependent individuals, abstinence results in deficits in cognitive functioning, which may be exacerbated by medication-associated sleep disruption.

METHOD

To assess cognitive function and the influence of sleep deprivation (SD), 14 healthy control (HC) and 22 methadone maintained (MM) participants completed the continuous performance task (CPT) after a baseline night, a night of total SD, and two recovery sleep nights. The digit symbol substitution task (DSST) was administered at bedtime and in the morning. Secondary analyses separated MM participants into short- (< 12 months; n=8) and long-term (≥ 12 months; n=14) treatment duration groups, and into low- (< 80 mg; n=9) and high-dose (≥ 80 mg; n=13) groups.

RESULTS

Linear mixed model ANOVAs revealed that there was no effect of SD. Across all days MM participants had more errors of omission, fewer correct responses, and slower reaction times (RTs) on the CPT, and fewer accurate substitutions on the evening and morning DSST. Short-term MM participants exhibited slower RTs on the CPT, and fewer correct substitutions on the evening DSST compared to long-term MM participants. Low-dose MM participants had slower RTs on the CPT than HCs and high-dose MM participants.

CONCLUSION

These data demonstrate that methadone-maintained individuals exhibit poorer performance on tasks of psychomotor speed and selective attention/impulsivity, but with longer-term treatment, performance appears to return toward control levels. Furthermore, while one day of SD was enough to alter subjective reports of sleep quality, cognitive function may be more resilient.