Literature Collection
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Grey Literature
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Opioids & SU
The Literature Collection contains over 10,000 references for published and grey literature on the integration of behavioral health and primary care. Learn More
Use the Search feature below to find references for your terms across the entire Literature Collection, or limit your searches by Authors, Keywords, or Titles and by Year, Type, or Topic. View your search results as displayed, or use the options to: Show more references per page; Sort references by Title or Date; and Refine your search criteria. Expand an individual reference to View Details. Full-text access to the literature may be available through a link to PubMed, a DOI, or a URL. References may also be exported for use in bibliographic software (e.g., EndNote, RefWorks, Zotero).
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
BACKGROUND: Sleep disturbance is common among patients receiving long-term opioid therapies, such as methadone maintenance. However, little is known about sleep disturbances in patients receiving medication treatment with buprenorphine. We sought to determine the frequency of subjective sleep disturbance in a sample of patients receiving medication treatment and to examine clinical factors related to sleep disturbance. METHODS: Participants were 328 persons receiving buprenorphine at 3 primary care sites. Sleep difficulty was assessed 2 questions adapted from the Patient Health Questionnaire-9 (PHQ-9) item assessing sleep. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CESD)-10 and PHQ-2. In addition, information was gathered on participant demographics and treatment characteristics. Demographics, buprenorphine treatment history, and depressive symptoms were compared for those with and without self-reported sleep difficulty. Logistic regression was used to estimate the adjusted association of sleep disturbance with these correlates. RESULTS: Seventy-one percent of persons receiving medication treatment with buprenorphine in the present study reported sleep difficulty. Persons reporting sleep disturbance reported shorter time in buprenorphine treatment and more depressed mood compared with those without sleep difficulty (p < .01). Men were significantly less likely to report disturbed sleep than women (odds ratio [OR] = 0.57, 95% confidence interval [CI]: 0.33, 0.98). Sleep disturbance was not associated significantly with age, ethnicity, educational attainment, or buprenorphine dose. CONCLUSIONS: Sleep disturbance is common in patients receiving medication treatment with buprenorphine and is associated with more depressive symptoms as well as a shorter duration of medication treatment. Future research, using subjective and objective sleep measures, is warranted to understand whether sleep disturbance is mitigated by longer buprenorphine treatment and whether difficulty sleeping predicts buprenorphine discontinuation among patients seeking treatment for opioid dependence.
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
Ketum use is significantly prevalent amongst individuals in the northern states of Peninsular Malaysia. This study aims to investigate the prevalence and psychosocial correlates of Ketum use in individuals who are in the Methadone Maintenance Therapy (MMT) Programme at the Hospital Taiping. This is a cross-sectional study conducted in the methadone clinic at the Hospital Taiping. The study instruments used were Subjective Opiate Withdrawal Scale (SOWS), Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) questionnaire, and Kratom Dependence Scale (KDS). A total of 215 subjects were recruited for this study. The prevalence of ketum users was 49.3% (n = 106). Chinese and Indian ethnicity had a lower tendency to use ketum compared to Malay ethnicity, with OR = 0.386 (95% CI 0.134, 1.113) and 0.119 (95% CI 0.035, 0.408), respectively. Individuals who used other illicit drugs had a higher tendency to use ketum with the adjusted OR = 9.914 (95% CI: 1.109, 88.602). Every one unit increase in SOWS increased the odds of being a ketum user by 1.340 (95% CI: 1.070, 1.677), whereas every one unit increase in duration in the MMT programme reduced the odds of being a ketum user by 0.990 (95% CI: 0.982, 0.998). Ketum use is prevalent amongst those in the MMT programme in this study. The high prevalence of ketum use is of concern and further interventions should be carried out to address this.
This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.
This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)