Abstract
Background
Dispensations of benzodiazepines, z-hypnotics, and gabapentinoids to patients on opioid agonist therapy (OAT) are common and have pros and cons. The objectives of the current study are to define the dispensation rates of these potentially addictive drugs, and whether the number and the mean daily doses of dispensed OAT opioids and discontinuing OAT, are associated with being dispensed benzodiazepines, z-hypnotics and gabapentinoids among patients on OAT in Norway in the period 2013 to 2017.
Methods
Information about all dispensed opioids, benzodiazepines, z-hypnotics and gabapentinoids were recorded from the Norwegian Prescription Database (NorPD). A total of 10,371 OAT patients were included in the study period. The dispensation rates were defined as the number of patients who were dispensed at least one of the potentially addictive drugs divided among the number of patients who have dispensed an OAT opioid per calendar year. Mean daily doses were calculated, and for benzodiazepines and z-hypnotics, stated in diazepam equivalents. The association between dispensed potentially addictive drugs, and the number and the type of dispensed OAT opioids were calculated by using logistic regression models.
Results
Half of the OAT patients received at least one dispensation of a benzodiazepine or z-hypnotic, and 11% were dispensed at least a gabapentinoid in 2017. For dispensed benzodiazepines or z-hypnotics, the mean daily dose was reduced from 21 mg (95% confidence interval (CI): 20–23) diazepam equivalents in 2013 to 17 mg (95% CI: 16–17) in 2017. The mean daily dose of pregabalin increased from 365 mg (95% CI: 309–421) in 2013 to 386 mg (95% CI: 349–423) in 2017. Being dispensed a gabapentinoid (adjusted odds ratio (aOR) = 2.5, 95% CI: 2.1–3.0) or a non-OAT opioid (aOR = 3.0, 95% CI: 2.6–3.5) was associated with being dispensed a benzodiazepine or z-hypnotic. Discontinuing OAT did not affect the number of dispensations and the doses of potentially addictive drugs.
Conclusion
The dispensation rates of potentially addictive drugs are high in the OAT population. Treatment indications, as well as requirements for prescription authority, need to be debated and made explicit. Randomized controlled trials evaluating the benefits and risks of such co-prescription are required.
Keywords: Opioid substitution treatment, Benzodiazepines, Zopiclone, Zolpidem, Pregabalin, Gabapentin, Opioids, Drug prescriptions
Background
Dispensations of benzodiazepines, z-hypnotics, and gabapentinoids to patients on opioid agonist therapy (OAT) have pros and cons. These drugs may increase the mortality among patients on OAT and are associated with criminality, psychosocial problems, and injecting drug use [1, 2]. The use of several potentially addictive drugs is particularly challenging in an OAT program aimed at reducing mortality and injecting drug use and achieve rehabilitation among marginalized and comorbid patients with opioid addiction [3–8]. However, dispensations of benzodiazepines among highly comorbid patients with polydrug use may decrease the mortality if such dispensations make patients abstinent of illegal drugs, and they are followed up strictly by health professionals [2].
The proportion of OAT patients who were dispensed benzodiazepines or z-hypnotics varies across countries. In the United Kingdom, the proportion of OAT patients who were dispensed benzodiazepines and z-hypnotics was 42 and 20%, respectively, between 1998 and 2014 [9]. In Sweden, 32% of OAT patients were dispensed a benzodiazepine, and 41% received a z-hypnotic in the period from 2005 to 2012 [1]. Further, the proportion of Norwegian OAT patients who were dispensed benzodiazepine was 40% in 2005. Regulations of OAT are a typical reason for differences in the proportion of patients who are dispensed, potentially addictive drugs between countries [10]. In some countries, OAT has been a subject for strict regulation, implying that OAT is stopped if used potentially addictive drugs concomitantly [11–13]. Others, e.g., Norway, such discontinuation of OAT in case of benzodiazepine, and z-hypnotic use has become less common compared to during the early 2000s [14, 15].
The knowledge of gabapentinoid use among patients on OAT is lacking. However, for the last couple of years, gabapentinoids, particularly pregabalin, are consumed significantly more often among patients with opioid addiction compared to patients with other drug addictions [16]. Withdrawal symptoms are described if dose reduction or discontinuation [17–20], while using high-dosed gabapentinoids may cause euphoric effects, sedation, hallucinations, dissociation, conspicuous behavior, and the reinforced effect of OAT opioids [8, 16]. Dispensing gabapentinoids among patients with opioid addiction not necessarily indicated misuse or addiction. However, it is worrying if adverse side effects occur when combining with highly potent opioids with OAT opioids [16].
In Norway, opioid agonist therapy has been applied increasingly as an available treatment approach for opioid addiction [15]. In 2017, about 7500 patients received OAT opioids, and the majority received their OAT opioids at least once per week from pharmacies. A decreasing proportion of patients discontinued OAT during the past few years, and in 2017, 681 patients, including those who died, left the treatment [15]. Although, little is known about dispensations of benzodiazepines and z-hypnotics and gabapentinoids among patients on OAT. Thus, this observational study aims to investigate the dispensation rates and doses of these potentially addictive drugs among patients who were dispensed at least one OAT opioids in Norway in the period 2013 to 2017 and those who discontinued OAT. This study has three objectives:
To define dispensation rates and mean daily dose of benzodiazepines, z-hypnotics, and gabapentinoids per calendar year.
To assess the association between OAT opioids in terms of the number of dispensations and mean daily dose of OAT opioids, and whether patients are dispensed a benzodiazepine, z- hypnotic, or gabapentinoid, or not per calendar year.
To evaluate whether discontinuations of OAT affect the number of dispensations and the mean daily dose of dispensed benzodiazepines and z-hypnotics, or gabapentinoids.
Methods
Data source
All data were register data and were drawn from the Norwegian Prescription Database (NorPD) (www.norpd.no). From January 1, 2004, all pharmacies in Norway are obliged by law to submit all the dispensed drugs data electronically to the Norwegian Institute of Public Health. NorPD contains information of all dispensed drugs, including reimbursements, dispensed from pharmacies in Norway, except for dispensations dispensed during hospitalizations or at outpatient clinics. Anatomical Therapeutic Chemical (ATC) classification system was employed according to the determination by the World Health Organization (WHO) collaborating centre for drug statistics per October 2018 [21]. NorPD data were collected from January 1, 2013, to March 31, 2018, in this study. The STROBE checklist was applied in the preparation of the study (Additional file 1).
Study population
All patients above 18 years of age who received at least one dispensation of an OAT opioid, including methadone, levomethadone, buprenorphine, and buprenorphine-naloxone, from January 1, 2013, to December 31, 2017, were included. The patients using methadone tablets to achieve pain relief in palliative care were excluded by identifying those who only were dispensed methadone tablets without any dispensations of other OAT opioids or methadone mixture in the period from January 1, 2004, to December 31, 2017. Discontinuing OAT was defined as all patients who had the last dispensation of an OAT opioid in the inclusion period from January 1, 2017, to September 30, 2017, and then, no dispensations until the end of the collected NorPD data on March 31, 2018.
Analysis strategy and statistical analyses
Definitions of opioids, benzodiazepines, z-hypnotics, gabapentinoids, age, the number of dispensations, mean daily doses, and the type of dispensed OAT opioid
Opioid agonist therapy opioids, non-OAT opioids, and gabapentinoids, including gabapentin and pregabalin, were defined according to their ATC codes (Additional file 2). Benzodiazepines and z-hypnotics were defined as all benzodiazepines and z-hypnotics that have or have had marketing authorizations in Norway during the study period, including alprazolam, clonazepam, diazepam, flunitrazepam, nitrazepam, oxazepam, zolpidem, and zopiclone. Dispensations of benzodiazepines and z-hypnotics were pooled.
All included OAT patients were categorized into age groups per calendar year. The age groups were ≤ 25, 26–35, 36–45, 46–55, and ≥ 56. The number of dispensations was defined as all dispensations of a drug per calendar year. Further, the type of OAT opioid was defined as the last type of opioid that was dispensed per year. The mean daily doses of benzodiazepines, z-hypnotics, and gabapentinoids per year were calculated by using daily defined doses (DDD) stated in NorPD defined by the WHOs standards [21]. For benzodiazepines and z-hypnotics, dispensed DDDs of each benzodiazepine or z-hypnotic were summarized per year and converted to milligrams. For each benzodiazepine or z-hypnotic, the doses per year (in milligrams) were converted to diazepam equivalents, according to a benzodiazepine and z-hypnotic equipotency table stated in the Norwegian national guidelines for addictive drugs (Additional file 3) and WHOs standards [21, 22]. The total doses of each benzodiazepine or z-hypnotic were summarized (in diazepam equivalents) and divided on 365.25 days to calculate the mean daily doses per year. For gabapentinoids, the number of DDDs of gabapentin and pregabalin, respectively, were summarized per calendar year, and further, converted to milligrams by using WHOs standards [21]. The total dispensed doses of pregabalin and gabapentin were divided similarly on 365.25 days to calculate the mean daily dose per year. For OAT opioids, the number of DDDs of any defined OAT opioid were summarized and divided this by the number of days between the date of the first and the last dispensation per year. Due to this estimation, all patients that only were dispensed one dispensation of an OAT opioid per year were censored.
Moreover, patients were stratified into different categories according to the number of dispensations and the mean daily doses of dispensed benzodiazepines and z-hypnotics, gabapentinoids, and OAT opioids, respectively. Benzodiazepines and z-hypnotics, and gabapentinoids had three dispensation groups: 0, 1–2, and ≥ 3 dispensations per calendar year, and the OAT opioids were categorized into four groups: 1–6, 7–12, 13–51, and ≥ 52 dispensations per calendar year. Benzodiazepines and z-hypnotics were divided into three groups according to the mean daily doses (in milligrams) were dispensed: 0, ≤20, > 20 - ≤40, and > 40 diazepam equivalents. The mean daily doses of pregabalin and gabapentin were categorized into three groups. For pregabalin (mg per day): > 0 - ≤300, > 300 - ≤600, and > 600, and for gabapentin (mg per day): > 0 - ≤900, > 900 - ≤3600, > 3600. OAT opioids were defined as the mean daily DDDs, and the following three groups were used: 0- < 1, 1- < 2, and ≥ 2 mean DDDs per day. The ratio between DDD and milligrams are presented in Additional file 3.
Analysis strategy according to the aims
Dispensation rates were defined as all OAT patients who were dispensed one or more of the defined benzodiazepines or z-hypnotics, or gabapentinoids, respectively, per calendar year divided on all included OAT patients the same year.
Diazepam equivalents were used to adjust for equipotency of benzodiazepines and z-hypnotics. Due to the absence of consistent international guidelines of equipotency for these drugs, a sensitivity analysis was conducted [22]. The lowest and highest stated equipotency for each benzodiazepine and z-hypnotic, as well as a mean of them, respectively, were used to create three equipotency equations to convert all dispensed doses per year of each benzodiazepine or z-hypnotic into diazepam equivalents. The mean equivalent equation was as follow (in milligrams (mg)):
The lowest and the highest equivalent equations are presented in Additional file 4.
The number of dispensations of benzodiazepines and z-hypnotics, gabapentinoids, and OAT opioids, respectively, was plotted against the number of dispensations of an OAT opioid per year. Furthermore, the mean daily doses of dispensed benzodiazepines and z-hypnotics, and gabapentinoids, respectively, were plotted against mean daily DDD of OAT opioids per year.
The associations between being dispensed a benzodiazepine or z-hypnotic, or a gabapentinoid, and age, gender, type of OAT opioid, the number of dispensed OAT opioids, and being dispensed a non-OAT opioid were assessed per calendar year by using logistic regression models.
Dispensation rates and the mean daily doses of benzodiazepines and z-hypnotics, and gabapentinoids were evaluated for patients who discontinued OAT. For the baseline, the dispensation rates and the mean daily doses of dispensed benzodiazepines or z-hypnotics (stated in diazepam equivalents), and gabapentinoids, respectively, were calculated for the period 180 to 90 days before discontinuation date. Furthermore, the dispensation rates and the mean daily doses of benzodiazepines or z-hypnotics, and gabapentinoids, during the last 90 days before and the 90 days after discontinuation date, respectively, were summarized separately and compared to dispensation rates and mean daily doses at baseline.
Statistical analyses
Means, median, percentiles, percentage, 95% confidence interval (CI), odds ratio (OR), and p-value are presented when appropriate. The one-sample t-test was used to calculate mean daily doses of dispensed benzodiazepines or z-hypnotics, or gabapentinoids with 95% CI. The paired sample t-test was used to compare the differences in the mean daily dose of benzodiazepines or z-hypnotics and gabapentinoids, respectively, per year among OAT patients who discontinued OAT. Multivariable analyses for categorical variables were performed per year by creating logistic regression models. For these models, being dispensed a gabapentinoid, or a benzodiazepine or z-hypnotic were dependent variables, respectively, per year. Age groups, gender, type of OAT opioid, the number of dispensed OAT opioids, and being dispensed a non-OAT opioid were independent variables and defined categorically. In addition, being dispensed a gabapentinoid was used as an independent and categorical variable when being dispensed a benzodiazepine, or a z-hypnotic was defined as a dependent variable, and vice versa. The level of statistical significance was p < 0.05. All patients were excluded from the calendar year they died. SPSS version 24 was used for all analyses.
Ethical considerations
The Regional Committee for Medical and Health Research Ethics, REC vest, Norway, has approved the use of registry data for the study (approval number 2018/939/REK Vest, June 19, 2018). No informed consent from included patients was necessary.
Results
Basic characteristics
A total of 10,371 patients were dispensed at least one OAT opioid from pharmacies in Norway in the period 2013 to 2017 (Table 1). In 2017, 69% were men. The mean age increased from 43 (standard deviation (SD): 10) years in 2013 to 45 (SD: 10) years in 2017. A total of 690 participants died during the study period.
Table 1.
Baseline characteristics | 2013 | 2014 | 2015 | 2016 | 2017 | |||||
---|---|---|---|---|---|---|---|---|---|---|
No. | % | No. | % | No. | % | No. | % | No. | % | |
Patients | 7709 | 7914 | 7958 | 7804 | 7709 | |||||
Deaths | 165 | 151 | 138 | 114 | 124 | |||||
Patients, excl. deaths | 7544 | 7763 | 7820 | 7690 | 7585 | |||||
Age | ||||||||||
- ≤ 25 | 211 | 3 | 185 | 2 | 171 | 2 | 135 | 2 | 120 | 2 |
- 26-35 | 1590 | 21 | 1570 | 20 | 1551 | 20 | 1403 | 18 | 1333 | 18 |
- 36-45 | 2724 | 36 | 2730 | 35 | 2605 | 33 | 2508 | 33 | 3292 | 32 |
- 46-55 | 2283 | 30 | 2449 | 32 | 2544 | 33 | 2540 | 33 | 2548 | 34 |
- ≥ 56 | 736 | 10 | 829 | 11 | 949 | 12 | 1104 | 14 | 1192 | 16 |
Mean (SD) | 43 (10) | 44 (10) | 44 (10) | 44 (10) | 45 (10) | |||||
Gender | ||||||||||
Men | 5221 | 69 | 5390 | 69 | 5430 | 69 | 5354 | 70 | 5245 | 69 |
Women | 2323 | 31 | 2373 | 31 | 2390 | 31 | 2336 | 30 | 2340 | 31 |
OAT opioidsa | ||||||||||
Methadone, included levomethadone | 3406 | 45 | 3264 | 42 | 3216 | 41 | 3066 | 40 | 2981 | 39 |
Buprenorphineb | 4138 | 55 | 4499 | 58 | 4604 | 59 | 4624 | 60 | 4604 | 61 |
Potentially addictive drugs | ||||||||||
Dispensed a benzodiazepine and z-hypnoticc | 3747 | 50 | 3809 | 49 | 3714 | 47 | 3758 | 49 | 3762 | 50 |
Dispensed a gabapentinoid | 708 | 9 | 662 | 9 | 717 | 9 | 762 | 10 | 845 | 11 |
NorPD Norwegian Prescription Database, OAT Opioid agonist therapy, SD Standard deviation
aThe last type of dispensed OAT opioid per year
bInclude buprenorphine-naloxone
cZ-hypnotic includes zolpiclone and zolpidem
Dispensation rates and mean daily doses of dispensed benzodiazepines, z-hypnotics, and gabapentinoids
The proportion of patients who received at least one dispensation of benzodiazepines or z-hypnotics was 50% in 2017, and 42% received three or more such dispensations (Fig. 1). Similar findings were found yearly from 2013 to 2016. The dispensation rates of benzodiazepines and z-hypnotics declined from 21 mg (95% CI: 20–23 mg) diazepam equivalents per day in 2013 to 17 mg (95% CI: 16–17 mg) diazepam equivalents per day in 2017 (Table 2a and Table 2b). A quarter of patients was dispensed oxazepam, which was the most frequently dispensed benzodiazepine per year throughout the study period (Table 3). Zopiclone was the most frequently dispensed z-hypnotic per patient per year.
Table 2.
a) | ||||||
All indications | 2013 | 2014 | 2015 | 2016 | 2017 | |
Benzodiazepine and z-hypnotic dose per patient (in diazepam equivalents) | mean (lowest-highest) | |||||
Mean (mg/day) | 21 (17–29) | 20 (16–27) | 19 (15–25) | 17 (14–23) | 17 (14–22) | |
Median (mg/day) | 10 (9–12) | 10 (9–12) | 10 (8–12) | 10 (8–12) | 10 (8–11) | |
25 percentile (mg/day) | 3 (2–3) | 2 (2–3) | 3 (2–3) | 3 (2–3) | 3 (2–3) | |
75 percentile (mg/day) | 23 (20–29) | 22 (19–27) | 21 (18–26) | 21 (18–26) | 20 (18–25) | |
All indications | 2013 | 2014 | 2015 | 2016 | 2017 | |
Pregabalin dose per patient | Mean (mg/day) | 365 | 365 | 371 | 381 | 386 |
Median (mg/day) | 205 | 230 | 249 | 285 | 255 | |
25 percentile (mg/day) | 46 | 74 | 62 | 84 | 69 | |
75 percentile (mg/day) | 506 | 552 | 552 | 561 | 552 | |
All indications | 2013 | 2014 | 2015 | 2016 | 2017 | |
Gabapentin dose per patient | Mean (mg/day) | 911 | 970 | 997 | 960 | 1047 |
Median (mg/day) | 411 | 488 | 493 | 493 | 513 | |
25 percentile (mg/day) | 82 | 124 | 82 | 82 | 164 | |
75 percentile (mg/day) | 1228 | 1314 | 1383 | 1286 | 1430 | |
b) | ||||||
All indications | 2013 | 2017 | ||||
Mean dose (95 % CI) | Mean dose (95% CI) | |||||
Diazepam equivalents per patient | ||||||
Benzodiazepine and z-hypnotic dose per patient (in diazepam equivalents) | Mean (mg/day) | 21 (20–23)a | 17 (16–17)b | |||
Pregabalin dose per patient | Mean (mg/day) | 365 (309–421)c | 386 (349–423)d | |||
Gabapentin dose per patient | Mean (mg/day) | 911 (753–1068)e | 1047 (885–1209)f |
Df Degrees of freedom, Lowest Lowest equipotency dose, Highest Highest equipotency dose, and Mean = Min + Max divided by 2
aOne sample t-test, df = 3746, bone sample t-test, df = 3761, cone sample t-test, df = 486, done sample t-test, df = 590, eone sample t-test, df = 260, and fone sample t-test, df = 309
The table a) displays the daily doses (mean, median, 25 percentile, and 75 percentile) of dispensed benzodiazepines or z-hypnotics (calculated in diazepam equivalents), pregabalin and gabapentin per year among patients on OAT in Norway in period 2013 to 2017
The table b) displays the mean daily doses of dispensed benzodiazepines or z-hypnotics (calculated in diazepam equivalents), pregabalin and gabapentin in 2013 and 2017. The 95% confidence intervals were calculated by one-sample t-test analyses
For table a) and b), an equipotency table for benzodiazepines and z-hypnotics were used to make sensitivity analyses displaying the lowest equipotency dose and the highest equipotency dose of the included benzodiazepines and z-hypnotics. The results were presented in parentheses. All dispensed benzodiazepines and z-hypnotics were summarized per year
Table 3.
Year | 2013 | 2014 | 2015 | 2016 | 2017 | |||||
---|---|---|---|---|---|---|---|---|---|---|
Benzodiazepines or z-hypnotics | No. | %a | No. | %a | No. | %a | No. | %a | No. | %a |
Oxazepam | 2094 | 28 | 2091 | 27 | 2124 | 27 | 2183 | 28 | 2229 | 29 |
Diazepam | 1216 | 16 | 1251 | 16 | 1222 | 16 | 1272 | 17 | 1289 | 17 |
Zopiclone | 1026 | 14 | 964 | 12 | 932 | 12 | 936 | 12 | 863 | 11 |
Nitrazepam | 757 | 10 | 759 | 10 | 747 | 10 | 737 | 10 | 701 | 9 |
Clonazepam | 479 | 6 | 432 | 6 | 362 | 5 | 331 | 4 | 268 | 4 |
Zolpidem | 351 | 5 | 359 | 5 | 333 | 4 | 315 | 4 | 327 | 4 |
Alprazolam | 305 | 4 | 304 | 4 | 237 | 3 | 206 | 3 | 196 | 3 |
Flunitrazepam | 41 | 1 | 38 | 0 | 37 | 0 | 32 | 0 | 36 | 0 |
Gabapentinoids | No. | %a | No. | %a | No. | %a | No. | %a | No. | %a |
Pregabalin | 487 | 6 | 449 | 6 | 491 | 6 | 523 | 7 | 591 | 8 |
Gabapentin | 260 | 3 | 240 | 3 | 277 | 4 | 291 | 4 | 310 | 4 |
No. Number of patients, OAT Opioid agonist therapy
aPercent of all patients who were dispensed an OAT opioid
The table displays the proportion of all OAT patients who were dispensed different benzodiazepines, z-hypnotics, and gabapentinoids
Gabapentinoids were dispensed to 9 % of the patients in 2013 and 11% of the patients in 2017. Pregabalin was almost twice as frequently dispensed per patient as gabapentin per year throughout the study period. The mean daily doses of dispensed pregabalin increased with 1% per year from 365 mg (95% CI: 309–421 mg) in 2013 to 386 mg (95% CI: 349–423 mg) in 2017, and gabapentin increased with 4% per year from 911 mg (95% CI: 753–1068 mg) to 1047 mg (95% CI: 885–1209 mg) in the same period.
The dispensation rates of benzodiazepines and z-hypnotics, and gabapentinoids related to the number of dispensations and mean daily DDD of dispensed OAT opioids
The number of dispensations and the mean daily DDD of OAT opioids was not associated with changes in dispensation rates or the number of dispensations of benzodiazepines and z-hypnotics or gabapentinoids per year in the study period (Additional files 5, 6 and 7). However, being dispensed a benzodiazepine or z-hypnotic was associated with aging 46–55 years or being above 56 years of age rather than aging below 25 years, gender women, using methadone rather than buprenorphine as OAT opioid, or being dispensed at least one dispensation of non-OAT opioids, or gabapentinoids in 2017 (Table 4, Additional file 8). Further, being dispensed a gabapentinoid was associated with being dispensed a benzodiazepine or z-hypnotic or a non-OAT opioid. Similar results were substantially found per year in the period 2013 to 2016.
Table 4.
a) | ||||
2017 | Dispensed a benzodiazepine or z-hypnotic | |||
N = 3764 | ||||
cOR | p-value | aOR (95% CI) | p-value | |
Age | ||||
- ≤ 25 | 1.0 (ref.) | 1.0 (ref.) | ||
- 26-35 | 1.0 | .80 | 0.9 (0.6–1.4) | .76 |
- 36-45 | 1.0 | .85 | 1.0 (0.7–1.5) | .94 |
- 46-55 | 1.6 | .02 | 1.7 (1.1–2.5) | .05 |
- ≥ 56 | 1.9 | < .01 | 1.2 (1.1–1.3) | .01 |
Gender | ||||
- Men | 1.0 (ref.) | 1.0 (ref.) | ||
- Women | 1.2 | < .01 | 1.2 (1.1–1.3) | < .01 |
The number of dispensations of OAT opioids | ||||
- ≥ 52 | 1.0 (ref.) | 1.0 (ref.) | ||
- 13-51 | 1.3 | < .01 | 1.2 (1.1–1.5) | .01 |
- 7-12 | 1.1 | .27 | 1.0 (0.9–1.3) | .73 |
- 1-6 | 1.3 | .03 | 1.1 (0.9–1.4) | .23 |
OAT opioidsa | ||||
- Buprenorphine (incl. combinations) | 1.0 (ref.) | 1.0 (ref.) | ||
- Methadone (incl. Levomethadone) | 1.4 | < .01 | 1.3 (1.2–1.4) | < .01 |
Dispensed a non-OAT opioid | 3.5 | < .01 | 3.0 (2.6–3.5) | < .01 |
Dispensed a gabapentinoid | 3.0 | < .01 | 2.5 (2.1–3.0) | < .01 |
b) | ||||
2017 | Dispensed a gabapentinoid | |||
N = 845 | ||||
cOR | p-value | aOR (95% CI) | p-value | |
Age | ||||
- ≤ 25 | 1.0 (ref.) | 1.0 (ref.) | ||
- 26-35 | 1.1 | .71 | 1.2 (0.6–2.2) | .60 |
- 36-45 | 1.0 | .90 | 1.1 (0.6–2.0) | .79 |
- 46-55 | 1.0 | .99 | 0.9 (0.5–1.7) | .75 |
- ≥ 56 | 1.0 | .95 | 0.8 (0.4–1.5) | .45 |
Gender | ||||
- Men | 1.0 (ref.) | 1.0 (ref.) | ||
- Women | 1.3 | < .01 | 1.1 (1.0–1.3) | .16 |
The number of dispensations of OAT opioids | ||||
- ≥ 52 | 1.0 (ref.) | 1.0 (ref.) | ||
- 13-51 | 0.9 | .62 | 0.9 (0.7–1.1) | .31 |
- 7-12 | 1.0 | .95 | 0.9 (0.7–1.3) | .72 |
- 1-6 | 1.5 | .01 | 1.2 (0.9–1.7) | .26 |
OAT opioidsa | ||||
- Buprenorphine (incl. combinations) | 1.0 (ref.) | 1.0 (ref.) | ||
- Methadone (incl. Levomethadone) | 1.1 | .46 | 1.1 (0.9–1.3) | .41 |
Dispensed a non-OAT opioid | 3.7 | < .01 | 3.0 (2.5–3.5) | <.01 |
Dispensed a benzodiazepine or z-hypnotic | 3.0 | < .01 | 2.5 (2.1–3.0) | <.01 |
cOR crude odds ratio, aOR adjusted odds ratio, CI Confidence interval, and OAT Opioid agonist therapy
aThe last type of dispensed OAT opioid
Table a) and b) display unadjusted (crude) and adjusted odds ratio for all independent variables of patients who were dispensed at least a benzodiazepine or z-hypnotic, and a gabapentinoid, respectively, in 2017 in Norway. a) Being dispensed at least a benzodiazepine or z-hypnotic was defined as a dependent variable, and age, gender, ‘the number of dispensations of OAT opioids,’ ‘OAT opioids,’ ‘dispensed a non-OAT opioid,’ and ‘dispensed a gabapentinoid’ were defined as categorical and independent variables. b) Being dispensed a gabapentinoid was defined as a dependent variable, and age, gender, ‘the number of dispensations of OAT opioids,’ ‘OAT opioids,’ ‘dispensed a non-OAT opioid,’ and ‘dispensed a benzodiazepine or z-hypnotic’ were defined as categorical and independent variables
Dispensation rates and mean daily doses of dispensed benzodiazepines and z-hypnotics, and gabapentinoids related to discontinuation of OAT
We identified 693 patients who discontinued OAT during the inclusion period. Of those, 156 patients were dispensed at least one dispensation of a benzodiazepine or z-hypnotic in the period from 180 days before to 90 days after discontinuation. The mean daily dose of dispensed benzodiazepine and z-hypnotic was not changed compared to the mean daily dose at baseline when patients discontinued OAT (Δ mean daily dose (in mg): 0, 95% CI: − 3 – 3) (Fig. 2).
Furthermore, 42 patients were dispensed a benzodiazepine or z-hypnotic only during the 90 days after discontinuation. Of these patients, the mean daily dose of benzodiazepines or z-hypnotics during the 90 days after discontinuation was about half of the mean daily dose of these patients who were dispensed benzodiazepines or z-hypnotics at baseline and until 90 days after the discontinuation. Pregabalin and gabapentin were prescribed to 50 and 23 patients, respectively, during the 180 days before to 90 days after discontinuation of OAT (Additional file 9). No changes in mean daily doses of these drugs were found when comparing the mean daily doses at baseline with the mean daily doses the first 90 days after the discontinuation (pregabalin: Δ mean daily dose (in mg): 50, 95% CI: − 47 – 149, gabapentin: Δ mean daily dose (in mg): 190 mg, 95% CI: − 789 – 1168).
Discussion
In the period 2013 to 2017, a steady proportion of the Norwegian OAT population received at least one prescription of a benzodiazepine or z-hypnotic. Furthermore, the number of patients who were dispensed at least one dispensation of a gabapentinoid increased slightly in the study period. The mean daily dose of benzodiazepines and z-hypnotics was declining, while the mean daily dose of pregabalin and gabapentin were increasing. The number of dispensations and the mean daily DDD of OAT opioids did not affect the number of dispensations of benzodiazepines and z-hypnotics, or gabapentinoids. Being dispensed a benzodiazepine or z-hypnotic was associated with aging 46–55 years or being above 56 years of age rather than aging below 25 years, gender women, using methadone rather than buprenorphine as OAT opioid or being dispensed at least once a non-OAT opioid, or a gabapentinoid in 2017. Similar results were substantially found in the period from 2013 to 2016. Oxazepam and zopiclone were the most frequently dispensed benzodiazepine and z-hypnotic, respectively, and pregabalin was prescribed twice as often per patient per year as gabapentin throughout the study period. Discontinuation of OAT was not associated with changes in the dispensation rates or the mean daily doses of benzodiazepines or z-hypnotics, or gabapentinoids.
Our findings were in line with dispensation rates of benzodiazepines, z-hypnotics, and gabapentinoids in the OAT population in the United Kingdom in the period from 1998 to 2014 [9]. Further, the dispensation rates were higher for being dispensed a benzodiazepine or a gabapentinoid and lower for being dispensed a z-hypnotic compared with the OAT population in Sweden in the period 2005 to 2013 [1]. In Norway, the proportion of OAT patients who were dispensed benzodiazepines or z-hypnotics was at least as high as comparable descriptive analyses of benzodiazepine dispensations in 2005 [23]. Moreover, the proportion of the general Norwegian population was dispensed a benzodiazepine or z-hypnotic decreased relatively on 1.2% per year from 10.8% in 2015 to 10.4% in 2017, whereas pregabalin increased by 3.5% per year, and gabapentin increased by 5.8% per year in the same period [24]. The dispensation rates of all these potentially addictive drugs were substantially higher in the OAT population. For gabapentinoids, the dispensation rates were increasing in both the OAT population and the general Norwegian population in the study period.
The reasons for the increasing use of gabapentinoids in the OAT population are lacking. In the past decade, gabapentinoids, particularly pregabalin, were placed under scrutiny due to the risk of addiction [16], and prescribers have become aware of the risk of prescribing these drugs to patients with a history of drug addiction [1]. Although, it is remarkable that the dispensation rate of gabapentinoids was increasing, and pregabalin was dispensed twice as frequently as gabapentin. The reason may be a high prevalence of psychiatric comorbidities like anxiety in the OAT population [25–27]. Further studies evaluating reasons for the increasing gabapentinoid use among patients on OAT is required.
Being dispensed a benzodiazepine or z-hypnotic was particularly associated with being dispensed non-OAT opioids, and gabapentinoids, as well as methadone rather than buprenorphine as the type of OAT opioid. Chronic non-malignant pain like pain in muscles and skeleton is highly prevalent in the OAT population using methadone as an OAT opioid and affects up to 68% in some studies [28–31]. Having chronic non-malignant pain on OAT is strongly associated with using benzodiazepines [26, 27], and the presence of psychiatric comorbidities such as anxiety and depression [31]. Even though the prevalence of chronic non-malignant pain in the Norwegian OAT population is uncertain, one can assume that chronic non-malignant pain was an essential explanation for the association between the dispensation of benzodiazepines and gabapentinoids and using methadone on OAT in this study.
Overall, there is substantial evidence that OAT protects against overdose-related deaths and injecting opioid use [32, 33]. Nevertheless, the mortality increases significantly among patients on OAT if dispensed benzodiazepines, z-hypnotics, or gabapentinoids [1, 2]. Therefore, the guidelines in several European countries recommend careful dispensation of potentially addictive drugs to these patients on OAT [34, 35]. However, being dispensed of a potentially addictive drug is not necessarily wrong, and the reasons for these dispensations may be multifactorial. Physical and mental comorbidities are highly prevalent among patients on OAT, which predict and defend the dispensations of potentially addictive drugs [25–27]. In a few marginalized cases with several addictions, it is argued that dispensations of benzodiazepines decrease mortality if low dosed benzodiazepines replace illegal drug consumption [2]. Nevertheless, it should be a better awareness of whether such dispensations are medically indicated on patients on OAT taken our findings into consideration. Improving prescription routines among general physicians, application of strict monitoring systems, and a close co-operation with specialized addiction health care center may be considered as some of the essential approaches to strive for optimal conditions in cases on OAT where several potentially addictive drugs are medically indicated.
Strengths and limitations
Using Norwegian registry data had some strengths. Pharmacy records are viewed to be more valid than both medical records and data collected from questionnaires and interviews. Because practically all dispensed drugs are registered in the database, completeness, and precision of all received information is high, and the potential for information biases is low.
This study also had some limitations. The NorPD only receives information about dispensed drugs, and we cannot know whether the drugs have been consumed. Second, due to that a minor part of reimbursed prescriptions being received through the Norwegian Health Economics Administration (HELFO), the medical indications for these dispensations are not available for the researchers through NorPD. For example, clonazepam, pregabalin, and gabapentin may be dispensed on the medical indication of epilepsy, while oxazepam or diazepam may be used preferably for detoxifications, or treatment of short-term anxiety or sleeping disorder. Third, the number of dispensations may be incomplete registered by the pharmacies. For OAT opioids, the self-reporting survey of OAT showed that the mean number of dispensation per patient was four times a week [15]. This finding may indicate that the number of dispensations is underestimated in our study. In order to adjust for this uncertainty to some extent, the mean daily dose calculated by summing the dispensed DDD, divided by the number of days between the first and the last dispensation were used. Fourth, slightly less than 10% of OAT opioids are dispensed in addiction specialist outpatient clinics, and those are not necessarily registered in NorPD. Some of these outpatient clinics ordered OAT opioids directly from pharmacies without linking to a personal identification number. These patients were lost in this study [15].
Conclusion
The dispensation rates of benzodiazepines, z-hypnotics, and gabapentinoids to patients receiving OAT in Norway are high. A high burden of disease among patients on OAT may be an essential explanation. Future policies need to debate the indications for dispensations of benzodiazepines, z-hypnotics, and gabapentinoids explicitly in guidelines on OAT as well as make requirements for dispensation authority. More randomized controlled trials evaluating the benefits and risks of such co-dispensation with sufficient power are required.
Supplementary information
Acknowledgments
Not applicable.
Abbreviations
- AOR
Adjusted odds ratio
- ATC
Anatomical Therapeutic Chemical
- CI
Confidence interval
- DDD
Defined Daily Doses
- HELFO
The Norwegian Health Economics Administration
- NorPD
The Norwegian Prescription Database
- OAT
Opioid agonist therapy
- OR
Odds ratio
- WHO
World Health Organization
Authors’ contributions
JHV was involved in the study design, led analysis, and writing the article preparation. SS, CA, FC, PK, KAJ and LTF contributed in the study design, analysis, and writing the article preparation. All authors have read and approved the final article.
Authors’ information
Jørn Henrik Vold, MD, Department of Addiction Medicine, Haukeland University Hospital, and Department of Public Health and Primary Care, University of Bergen. Mailing address: Department of Addiction Medicine, Haukeland University Hospital, Jonas Lies vei 65, N-5021 Bergen, Norway. E-mail: jorn.vold@uib.no.
Funding
The study was funded by The Norwegian Research Council (BEHANDLING, contract no 269855) and the Western Norway Regional Health Authority («Åpen prosjektstøtte») with Department of Addiction Medicine, Haukeland University Hospital as responsible institution. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Two of the authors are funded from the research grant BEHANDLING related to the project INTRO-HCV from the Norwegian Research Council. Their respective affiliations fund the other authors.
Availability of data and materials
Supplemental tables and data sources in this observational study are available in this published article and its additional files.
Ethics approval and consent to participate
The Regional Committee for Medical and Health Research Ethics, REC vest, Norway, has approved the use of registry data for the study (approval number 2018/939/REK Vest, June 19, 2018). No informed consent from the patients was necessary.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Jørn Henrik Vold, Email: jorn.vold@uib.no.
Svetlana Skurtveit, Email: svetlana.skurtveit@fhi.no.
Christer Aas, Email: christer.frode.aas@helse-bergen.no.
Fatemeh Chalabianloo, Email: fatemeh.chalabianloo@helse-bergen.no.
Pia Synnøve Kloster, Email: pia.synnove.kloster@helse-bergen.no.
Kjell Arne Johansson, Email: Kjell.Johansson@uib.no.
Lars Thore Fadnes, Email: lars.fadnes@uib.no.
Supplementary information
Supplementary information accompanies this paper at 10.1186/s12913-020-05195-5.
References
- 1.Abrahamsson T, Berge J, Ojehagen A, Hakansson A. Benzodiazepine, z-drug and pregabalin prescriptions and mortality among patients in opioid maintenance treatment-a nation-wide register-based open cohort study. Drug Alcohol Depend. 2017;174:58–64. doi: 10.1016/j.drugalcdep.2017.01.013. [DOI] [PubMed] [Google Scholar]
- 2.Bakker A, Streel E. Benzodiazepine maintenance in opiate substitution treatment: good or bad? A retrospective primary care case-note review. J Psychopharmacol. 2017;31(1):62–66. doi: 10.1177/0269881116675508. [DOI] [PubMed] [Google Scholar]
- 3.Brands B, Blake J, Marsh DC, Sproule B, Jeyapalan R, Li S. The impact of benzodiazepine use on methadone maintenance treatment outcomes. J Addict Dis. 2008;27(3):37–48. doi: 10.1080/10550880802122620. [DOI] [PubMed] [Google Scholar]
- 4.Darke S. Benzodiazepine use among injecting drug users: problems and implications. Addiction. 1994;89(4):379–382. doi: 10.1111/j.1360-0443.1994.tb00909.x. [DOI] [PubMed] [Google Scholar]
- 5.Loxley W. Benozdiazepine use and harms among police detainees in Australia. Aust Inst Criminol. 2007;336:1. [Google Scholar]
- 6.Charlson F, Degenhardt L, McLaren J, Hall W, Lynskey M. A systematic review of research examining benzodiazepine-related mortality. Pharmacoepidemiol Drug Saf. 2009;18(2):93–103. doi: 10.1002/pds.1694. [DOI] [PubMed] [Google Scholar]
- 7.Votaw VR, Geyer R, Rieselback R, McHugh RK. The epidemiology of benzodiazepine misuse: a systematic review. Drug Alcohol Depend. 2019;200:95–114. doi: 10.1016/j.drugalcdep.2019.02.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Chiappini S, Schifano F. A decade of Gabapentinoid misuse: an analysis of the European medicines Agency’s ‘Suspected adverse drug Reactions’ database. CNS Drugs. 2016;30(7):647–654. doi: 10.1007/s40263-016-0359-y. [DOI] [PubMed] [Google Scholar]
- 9.Macleod J, Steer C, Tilling K, Cornish R, Marsden J, Millar T, Strang J, Hickman M. Prescription of benzodiazepines, z-drugs, and gabapentinoids and mortality risk in people receiving opioid agonist treatment: observational study based on the UK clinical practice research Datalink and Office for National Statistics death records. PLoS Med. 2019;16(11):e1002965. doi: 10.1371/journal.pmed.1002965. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Addiction EMCfDaD . European Monitoring Centre for Drugs and Drug Addiction. 2017. Health and social responses to drug problems - A European Guide. [Google Scholar]
- 11.Sweden Country Drug Report 2018. In.http://www.emcdda.europa.eu/system/files/publications/11321/sweden-cdr-2018-with-numbers.pdf: European Monitoring Centre for Drugs and Drug Addiction; 2018.
- 12.Sweden Country Drug Report 2019. In.http://www.emcdda.europa.eu/system/files/publications/11354/sweden-cdr-2019_0.pdf: European Monitoring Centre for Drugs and Drug Addiction; 2019.
- 13.The misuse of benzodiazepines among high-risk opioid users in Europe. In.http://www.emcdda.europa.eu/system/files/publications/2733/Misuse%20of%20benzos_POD2015.pdf: European Monitoring Centre for Drugs and Drug Addiction; 2018.
- 14.The Norwegian guidelines for opioid agonist therapy (norsk: Nasjonal retningslinje for legemiddelassistert rehabailitering ved opioidavhengighet). In.https://helsedirektoratet.no/Lists/Publikasjoner/Attachments/100/IS-1701-Legemiddelassistert-rehabilitering-ved-opioidavhengighet.pdf: The Norwegian Directorate of Health; 2010.
- 15.Waal H, Bussesund K, Clausen T, Lillevold P, Skeie I: Statusrapport 2017, LAR 20 år. Status, vurderinger og perspektiver. In.https://www.med.uio.no/klinmed/forskning/sentre/seraf/publikasjoner/rapporter/2018/seraf-rapport-nr-3-2018-statusrapport-2017.pdf: Norwegian Centre for Addiction Research (SERAF); 2017.
- 16.Evoy KE, Morrison MD, Saklad SR. Abuse and misuse of Pregabalin and gabapentin. Drugs. 2017;77(4):403–426. doi: 10.1007/s40265-017-0700-x. [DOI] [PubMed] [Google Scholar]
- 17.Kruszewski SP, Paczynski RP, Kahn DA. Gabapentin-induced delirium and dependence. J Psychiatr Pract. 2009;15(4):314–319. doi: 10.1097/01.pra.0000358318.73684.df. [DOI] [PubMed] [Google Scholar]
- 18.Gahr M, Freudenmann RW, Hiemke C, Kolle MA, Schonfeldt-Lecuona C. Pregabalin abuse and dependence in Germany: results from a database query. Eur J Clin Pharmacol. 2013;69(6):1335–1342. doi: 10.1007/s00228-012-1464-6. [DOI] [PubMed] [Google Scholar]
- 19.Hellwig TR, Hammerquist R, Termaat J. Withdrawal symptoms after gabapentin discontinuation. Am J Health-System Pharm. 2010;67(11):910–912. doi: 10.2146/ajhp090313. [DOI] [PubMed] [Google Scholar]
- 20.Naveed S, Faquih AE, Chaudhary AMD. Pregabalin-associated discontinuation symptoms: a case report. Cureus. 2018;10(10):e3425. doi: 10.7759/cureus.3425. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Definition and general considerations. In: https://wwww.hoccno/ddd/definition_and_general_considera/#Definition. WHO Collaborating Centre for Drug Statistics; 2019.
- 22.The Norwegian guidelines for addictive drugs (Norsk: Nasjonal faglig veileder vanedannende legemidler. In.https://helsedirektoratet.no/retningslinjer/vanedannende-legemidler/seksjon?Tittel=oversikt-og-ekvipotens-for-5789: The Norwegian Directorate of Health; 2019.
- 23.Bramness JG, Kornor H. Benzodiazepine prescription for patients in opioid maintenance treatment in Norway. Drug Alcohol Depend. 2007;90(2–3):203–209. doi: 10.1016/j.drugalcdep.2007.03.008. [DOI] [PubMed] [Google Scholar]
- 24.The Norwegian Prescription Database (NorPD) In.http://www.norpd.no/: Norwegian Institute of Public Health (NIPH), the Norwegian Institute of Public Health; 2019.
- 25.Hickman M, Steer C, Tilling K, Lim AG, Marsden J, Millar T, Strang J, Telfer M, Vickerman P, Macleod J. The impact of buprenorphine and methadone on mortality: a primary care cohort study in the United Kingdom. Addiction. 2018;113(8):1461–1476. doi: 10.1111/add.14188. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Higgins C, Smith BH, Matthews K. Substance misuse in patients who have comorbid chronic pain in a clinical population receiving methadone maintenance therapy for the treatment of opioid dependence. Drug Alcohol Depend. 2018;193:131–136. doi: 10.1016/j.drugalcdep.2018.08.038. [DOI] [PubMed] [Google Scholar]
- 27.Dunn KE, Brooner RK, Clark MR. Severity and interference of chronic pain in methadone-maintained outpatients. Pain Med. 2014;15(9):1540–1548. doi: 10.1111/pme.12430. [DOI] [PubMed] [Google Scholar]
- 28.Dunn KM, Saunders KW, Rutter CM, Banta-Green CJ, Merrill JO, Sullivan MD, Weisner CM, Silverberg MJ, Campbell CI, Psaty BM, et al. Opioid prescriptions for chronic pain and overdose: a cohort study. Ann Intern Med. 2010;152(2):85–92. doi: 10.7326/0003-4819-152-2-201001190-00006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Barry DT, Savant JD, Beitel M, Cutter CJ, Moore BA, Schottenfeld RS, Fiellin DA. Pain and associated substance use among opioid dependent individuals seeking office-based treatment with buprenorphine-naloxone: a needs assessment study. Am J Addict. 2013;22(3):212–217. doi: 10.1111/j.1521-0391.2012.00327.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Tsui JI, Lira MC, Cheng DM, Winter MR, Alford DP, Liebschutz JM, Edwards RR, Samet JH. Chronic pain, craving, and illicit opioid use among patients receiving opioid agonist therapy. Drug Alcohol Depend. 2016;166:26–31. doi: 10.1016/j.drugalcdep.2016.06.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Dennis BB, Bawor M, Naji L, Chan CK, Varenbut J, Paul J, Varenbut M, Daiter J, Plater C, Pare G, et al. Impact of chronic pain on treatment prognosis for patients with opioid use disorder: a systematic review and meta-analysis. Subst Abus. 2015;9:59–80. doi: 10.4137/SART.S30120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Sordo L, Barrio G, Bravo MJ, Indave BI, Degenhardt L, Wiessing L, Ferri M, Pastor-Barriuso R. Mortality risk during and after opioid substitution treatment: systematic review and meta-analysis of cohort studies. Bmj. 2017;357:j1550. doi: 10.1136/bmj.j1550. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Gowing L, Farrell MF, Bornemann R, Sullivan LE, Ali R. Oral substitution treatment of injecting opioid users for prevention of HIV infection. Cochrane Database Syst Rev. 2011;8:Cd004145. doi: 10.1002/14651858.CD004145.pub4. [DOI] [PubMed] [Google Scholar]
- 34.Methadone and buprenorphine for the management of opioid dependence. In.https://www.nice.org.uk/guidance/ta114/resources/methadone-and-buprenorphine-for-the-management-of-opioid-dependence-pdf-82598072878789. National Institute for Health and Clinical Excellence (NICE); 2007, updated 2016.
- 35.Opioid substitution therapy for patients with opioid dependence (Swedish: Läkemedelassisterad behandling vid opiatberoende - slutsatser och förslag), In. https://www.socialstyrelsen.se/globalassets/sharepoint-dokument/artikelkatalog/ovrigt/2015-3-35.pdf: The Swedish National Board of Health Welfare (Swedish: Socialstyrelsen); 2015.
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Supplemental tables and data sources in this observational study are available in this published article and its additional files.