Materials and Methods: This cross-sectional study used prescription databases of tertiary hospital settings in Malaysia from 2010 to 2016. Prescriptions for nine NSAIDs (diclofenac, ketoprofen, etoricoxib, celecoxib, ibuprofen, indomethacin, mefenamic acid, meloxicam, and naproxen), tramadol, and five other opioids (morphine, oxycodone, fentanyl, buprenorphine, and dihydrocodeine) prescribed for children aged <18 years were included. Number of annual patients and prescriptions were measured and analyzed using Stata v15.
Results: During a 7-year study period, a total of 5040 analgesic prescriptions of the nine NSAIDs, tramadol, and five other opioids were prescribed for 2460 pediatric patients (81.8% NSAIDs patients, 17.9% tramadol patients, and 0.3% opioid patients). Ibuprofen was the primary analgesic in young children less than 12 years old (≤2 years old [y.o.] [75%], 3-5 y.o. [85%], and 6-12 y.o. [56.3%]). However, there was a wide range of analgesics used in older children (>12 y.o.) with the majority for naproxen (13-15 y.o. (28.2%) and 16-17 y.o. (28.2%). Other frequently prescribed analgesics for older children included ibuprofen (20.6%) and diclofenac (18.2%) for 12-15 y.o. and diclofenac (26.7%) and tramadol (17.6%) for 16-17 y.o.
Conclusion: Ibuprofen was the primary analgesic for children less than 12 y.o., whereas there was a wide range of analgesics prescribed for children age >12 y.o. including naproxen, diclofenac, and tramadol.
Materials and Methods: Data of five strong opioids consumption (morphine, oxycodone, fentanyl, pethidine, and methadone) between 2005 and 2014 from Malaysia, Singapore, Indonesia, Thailand, and Vietnam were extracted from the Pain and Policy Studies Group. Defined daily doses per 1000 inhabitants per day (DDD/1000 inhabitants/day) was used for calculating the annual amount of opioid use.
Results: The total consumption of five strong opioids was increased in all five Southeast Asian countries during a 10-year study period. Malaysia was recorded with the largest increase of the opioid consumption (993.18%), followed by Indonesia (530.34%), Vietnam (170.17%), Singapore (116.16%), and Thailand (104.66%). Malaysia also had the highest total strong opioid consumption (11.2 DDD/1000 inhabitants/day), primarily for methadone. Among the opioids used for pain management, fentanyl was primarily used in Malaysia and Singapore but the greatest increase in these two countries was for oxycodone. Fentanyl was also primarily used in Indonesia while morphine was predominantly used in Thailand and Vietnam.
Conclusion: Growing trends of strong opioids consumption in all five Southeast Asian countries demonstrated in this study may indicate improved access to opioid analgesics in these countries. Given the increasing trends, it is important to ensure that the utilization of opioids is according to the guideline to prevent the negative consequences of opioids particularly when used in chronic non-cancer pain.
DESIGN: This study was designed as a retrospective cohort study.
SETTING AND PARTICIPANTS: In this study, we analysed the prescription databases of tertiary hospitals in Malaysia. This study included patients aged ≥18 years with at least one opioid prescription (buprenorphine, morphine, oxycodone, fentanyl, dihydrocodeine or tramadol) between 1 January 2011 and 31 December 2016. These patients had no opioid prescriptions in the 365 days prior, and were followed up for 365 days after the initial opioid prescription.
MAIN OUTCOME MEASURES: The main outcome measures were the number of short-term (<90 days) and long-term opioid users (≥90 days), initial opioid prescription period and daily dose.
RESULTS: There were 33 752 opioid-naïve patients who received opioid prescriptions (n=43 432 prescriptions) during the study period. Of these, 29 824 (88.36%) were short-term opioid users and 3928 (11.64%) were long-term opioid users. The majority of these short-term (99.09%) and long-term users (96.18%) received an initial daily opioid dose of <50 mg/day with a short-acting opioid formulation. Short-term opioid users were predominantly prescribed opioids for 3-7 days (59.06%) by the emergency department (ED, 60.56%), while long-term opioid users were primarily prescribed opioids for ≥7 days (91.85%) by non-ED hospital departments (91.8%). The adjusted model showed that the following were associated with long-term opioid use: increasing opioid daily doses, prescription period ≥7 days and long-acting opioids initiated by non-EDs.
CONCLUSIONS: The majority of opioid-naïve patients in tertiary hospital settings in Malaysia were prescribed opioids for short-term use. The progression to long-term use among opioid-naïve patients was attributed to the prescription of higher opioid doses for a longer duration as well as long-acting opioids initiated by non-ED hospital departments.
METHODS: Sociometric data on networks on people who inject drugs from Hartford, CT, which were collected in 2012-2013, provided assessment of risk behaviors among 1574 injection network members, including participation in OAT and SSP. Subject's network characteristics were examined in relation to retention in OAT, as well as secondary syringe exchange using exponential random graph model (ERGM) and regression.
RESULTS: Based on the analysis, we found that probability of individuals being retained in OAT was positively associated with the OAT retention status of their peers within the network. Using simulations, we found that higher levels of positive correlation of OAT retention among network members can result in reduced risk of transmission of HIV to network partners on OAT. In addition, we found that secondary syringe exchange engagement was associated with higher probability of sharing of paraphernalia and unsterile needles at the network level.
CONCLUSIONS: Understanding how networks mediate risk behaviors is crucial for making progress toward ending the HIV epidemic.
METHODS: The three hundred participants comprised 152 opioid naive subjects and 148 opioid dependent patients. Opioid naive subjects had not taken any opioids including morphine and methadone to their best knowledge and were presumed so after two consecutive negative urine screenings for drugs. All opioid dependent patients were stabilized in treatment, defined as having been enrolled in the program for more than one month with no change of methadone dosage over the past one month. Excluded from the study were individuals with chronic or ongoing acute pain and individuals with a history of analgesics ingestion within 3 d before the cold pressor test (CPT). Pain tolerance to CPT was evaluated at 0 h, and at 2, 4, 8, 12, and 24 h post-methadone dose.
RESULTS: Patients exhibited a significantly shorter mean pain tolerance time of 34.17 s (95% CI 24.86, 43.49) versus 61.36 (52.23, 70.48) [p < 0.001] compared with opioid naive subjects. Time-dependent mean pain tolerance was also significantly different when naive subjects were compared to patients (p = 0.016).
CONCLUSIONS: This study revealed hyperalgesia amongst patients on MMT, as manifested by their quicker hand withdrawal. The complaints of pain in this population should not be underestimated and the pain should be evaluated seriously and managed aggressively.
METHODS: The cold pressor pain responses of 148 opioid dependent patients receiving MMT were evaluated using the cold pressor test (CPT). DNA was extracted from whole blood and subjected to polymerase chain reaction (PCR)-genotyping.
RESULTS: Of the 148 subjects, 77 (52.0%) were carriers of CYP2B6*6 allele. CYP2B6*6 allele carriers had shorter cold pain threshold and pain tolerance times than non-carriers of CYP2B6*6 allele (21.05s vs 33.69s, p=0.036 and 27.15s vs 44.51s, p=0.020, respectively). Pain intensity scores of the CYP2B6*6 allele carriers was 67.55, whereas that of the CYP2B6*6 allele non-carriers was 64.86 (p=0.352).
CONCLUSION: Our study indicates that the CYP2B6*6 allele is associated with a lower pain threshold and lower pain tolerance among males with opioid dependence on MMT. The CYP2B6*6 allele may provide a mechanistic explanation for clinical observations of heightened pain sensitivity among opioid dependent patients receiving MMT.
Materials and Methods: Patients with opioid dependence (n = 148) were recruited from MMT clinics. Pain sensitivity, severity of the opiate withdrawal syndrome, and sleep quality were assessed using cold pressor test (CPT), Subjective Opiate Withdrawal Scale (SOWS-M), and Pittsburgh Sleep Quality Index (PSQI)-Malay, respectively. Deoxyribonucleic acid (DNA) was extracted from whole blood, and then was used for genotyping of Val96Ala, Leu141Leu, Val154Ile, Pro310Ser, Ser311Cys, TaqI A, -141C Ins/Del, and A-241G polymorphisms.
Results: Among 148 patients, 8.1% (n = 12), 60.8% (n = 90), 27.7% (n = 41), and 29.1% (n = 43) had at least one risk allele for Ser311Cys, TaqI A, -141C Ins/Del, and A-241G polymorphisms, respectively. There were no significant differences in pain responses (pain threshold, tolerance, and intensity), SOWS, and PSQI scores between DRD2 polymorphisms.
Conclusion: The common DRD2 polymorphisms are not associated with pain sensitivity, severity of the opiate withdrawal syndrome, and sleep quality in patients with opioid dependence on MMT. However, this may be unique for Malays. Additional research should focus on investigating these findings in larger samples and different ethnicity.
METHODS: Cold pain responses, including pain threshold and pain tolerance, were measured using the cold-pressor test (CPT). DNA was extracted from whole blood and genotyped for ABCB1 polymorphisms, including c.1236C>T (rs1128503), c.2677G>T/A (rs2032582), and c.3435C>T (rs1045642), using the allelic discrimination real-time polymerase chain reaction.
RESULTS: A total of 152 participants were recruited in this observational study. Frequencies of mutated allele for c.1236C>T, c.2677G>T/A, and c.3435C>T polymorphisms were 56.6%, 49.7%, and 43.4%, respectively. Our results revealed an association of the CGC/CGC diplotype (c.1236C>T, c.2677G>T/A, and c.3435C>T) with cold pain sensitivity. Participants with the CGC/CGC diplotype had 90% and 72% higher cold pain thresholds (87.62 seconds vs. 46.19 seconds, P = 0.010) and cold pain tolerances (97.24 seconds vs. 56.54 seconds, P = 0.021), respectively, when compared with those without the diplotype.
CONCLUSION: The CGC/CGC diplotype of ABCB1 polymorphisms was associated with variability in cold pain threshold and pain tolerance in healthy males.
MATERIALS AND METHODS: Participants comprised Malay male opioid-naive subjects (n = 159) and opioid-dependent patients (n = 160) from MMT clinics in Kelantan, Malaysia, between March and October 2013. Sleep quality was evaluated using the translated and validated Malay version of the Pittsburgh Sleep Quality Index (PSQI).
RESULTS: The opioid-dependent patients exhibited higher global PSQI scores [adjusted mean (95% CI) = 5.46 (5.02, 5.90)] than the opioid-naive group [4.71 (4.26, 5.15)] [F (1, 313) = 4.77, P = 0.030].
CONCLUSION: This study confirmed the poorer sleep quality among opioid-dependent patients on MMT, as manifested by their higher global PSQI scores. The sleep complaints in this patient population are a factor to consider and, when necessary, sleep evaluation and treatment should be undertaken to improve MMT patients' quality of sleep and overall treatment outcome.