Literature Collection

BACKGROUND: There is little evidence-based guidance on how to optimize methadone dosages among patients with opioid addiction undergoing methadone maintenance treatment (MMT). This study aims to investigate whether self-perceived opioid withdrawal symptoms, adverse effects, and self-reported substance use in patients on MMT are related to serum methadone concentrations and the role that these variables could play in clinical decisions on dose adjustments. METHODS: This naturalistic prospective cohort study included clinical and laboratory measurements from 83 patients undergoing MMT in outpatient clinics in Bergen, Norway, from May 2017 to January 2020. Information on age, gender, methadone daily doses and serum concentrations, subjective opioid withdrawal symptoms using 16 items Subjective Opioid Withdrawal Scale (SOWS) questionnaire, self-reported adverse effects, and substance use was obtained. Linear mixed modelling was used for analyzing the data. RESULTS: The mean age of the participants was 45 years, and 33% were women. Almost half reported mild to moderate subjective opioid withdrawal symptoms, and all had experienced at least one subjective adverse effect. The use of at least one substance was reported by 88% of the participants. Serum concentration-to-dose ratios were lower among those who had reported subjective opioid withdrawal symptoms (p) = 0.039). The total SOWS score (p < 0.001); the specific subjective withdrawal symptoms of anxiety (p = 0.004), bone and muscle aches (p = 0.003), restlessness (p = 0.017), and (slightly) shaking (p = 0.046), also use of heroin (p = 0.015) and alcohol (p = 0.011) were associated with lower methadone concentrations. Cannabis use was slightly related to higher methadone concentrations (p = 0.049). CONCLUSIONS: The findings suggest that the patient's self-perceived symptoms and current clinical condition are related to the serum concentrations of methadone. This interpretation supports dose adjustments based on patient-reported symptoms. In some aberrant cases, measurement of serum concentrations together with other individual assessments may be considered to support the clinical decision.

BACKGROUND: There is high co-occurrence of substance use disorders (SUD) and mental health disorders. We aimed to assess impact of substance use patterns and sociodemographic factors on mental health distress using the ten-item Hopkins Symptom Checklist (SCL-10) over time. METHODS: Nested prospective cohort study of 707 participants with severe SUD across nine opioid-agonist-therapy outpatient clinics and low-threshold municipality clinics in Norway, during 2017-2020. Descriptive statistics were derived at baseline and reported by means and standard deviation (SD). A linear mixed model analysis was used to assess the impact of substance use patterns and sociodemographic factors on SCL-10 sum score with beta coefficients with 95% confidence intervals (CI). RESULTS: Mean (SD) SCL-10 score was 2.2 (0.8) at baseline with large variations across patients. We observed more symptoms of mental health disorders among people with frequent use of benzodiazepines (beta 3.6, CI:2.4;4.8), cannabis (1.3, CI:0.2;2.5), opioids (2.7, CI:1.1;4.2), and less symptoms among people using frequent stimulant use (- 2.7, CI:-4.1;-1.4) compared to no or less frequent use. Females (1.8, CI:0.7;3.0) and participants with debt worries (2.2, CI:1.1;3.3) and unstable living conditions (1.7, CI:0.0;3.3) had also higher burden of mental health symptoms. There were large individual variations in SCL-10 score from baseline to follow-up, but no consistent time trends indicating change over time for the whole group. 65% of the cohort had a mean score > 1.85, the standard reference score. CONCLUSIONS: People with SUD have a considerable burden of mental health symptoms. We found no association between substance use patterns and change in mental health symptoms over time. This could suggest that the differences observed were indicating flattening of effects or self-medication to a larger degree than medication-related decline in mental health. This call for better individualized mental health assessment and patient care.

BACKGROUND: Clinical trials provide consistent evidence for buprenorphine's efficacy in treating opioid use disorder (OUD). While the Drug Addiction Treatment Act of 2000 requires physicians to combine medication-assisted treatment (MAT) with behavioral intervention, there is no clear evidence for what form or elements of psychotherapy are most effective when coupled with MAT to treat OUD. This investigation involves focus groups designed to collect patient opinions about a specific psychotherapy, called START NOW, as well as general beliefs about various elements of psychotherapy for treating OUD. Our analysis reveals trends about patient preferences and strategies for improving OUD treatment. METHODS: Subjects included patients enrolled in buprenorphine/naloxone MAT at our institution's office-based opioid treatment program. All subjects participated in a single START NOW group session, which was led by a provider (physician or nurse practitioner trained and standardized in delivering START NOW). Consented subjects participated in satisfaction surveys and audio-recorded focus groups assessing individual beliefs about various elements of psychotherapy for treating OUD. RESULTS: Overall, 38 different focus groups, 92 participation events, and 44 unique subjects participated in 1-to-6 different START NOW session/audio-recorded focus group sessions led by a certified moderator. Demographic data from 36/44 subjects was collected. Seventy-five percent (33/44) completed the START NOW Assessment Protocol, which revealed self-reported behavioral trends. Analysis of all 92 START NOW Satisfaction Questionnaire results suggests that subjects' opinions about START NOW improved with increased participation. Our analysis of audio-recorded focus groups is divided into three subsections: content strategies for new psychotherapies, implementation strategies, and other observations. For example, participants request psychotherapies to target impulsivity and to teach future planning and build positive relationships. CONCLUSIONS: The results of this study may guide implementation of psychotherapy and improve the treatment of OUD, especially as it relates to improving the modified START NOW program for treating OUD. Our study also reveals a favorable outlook of START NOW with increased participation, suggesting that any initial reticence to this program can be overcome to allow for effective implementation.