Key PointsQuestions
What is the incidence of long-term use of benzodiazepines and related drugs (BZDRs) in persons who start new BZDR treatment, and what factors are associated with the development of long-term use?
Findings
In a cohort study of 129 732 new BZDR users in Finland, 34% of working-aged persons and 55% of older persons developed long-term use. Higher rates of long-term use were associated with specific drugs, namely, nitrazepam, temazepam, lorazepam, and clonazepam.
Meaning
Despite guidelines and recommendations, BZDRs are still prescribed frequently for long-term treatment, especially in older persons, and the initial choice of a specific BZDR is associated with development of long-term BZDR use.
Importance
The proportion of patients who develop long-term benzodiazepine use remains controversial, as do the length of time before long-term use develops and the factors associated with long-term use.
Objective
To investigate the incidence of long-term benzodiazepine and related drug (BZDR) use and factors associated with the development of long-term use implementing a follow-up design with new BZDR users.
Design, Setting, and Participants
This population-based cohort study used a nationwide cohort of 129 732 new BZDR users in Finland. New users of BZDRs aged 18 years or older were identified from the prescription register maintained by the Social Insurance Institution of Finland as individuals who initiated BZDR use during 2006 and had not used BZDRs from 2004 to 2005. The follow-up continued until death, long-term hospitalization, a gap of 2 years in BZDR use, or December 31, 2015. The population was analyzed according to age at treatment initiation, categorized into younger (<65 years) and older (≥65 years) subcohorts. Analyses were conducted from May 2019 to February 2020.
Exposures
Use of BZDRs, modeled from register-based data using the PRE2DUP (from prescriptions to drug use periods) method.
Main Outcomes and Measures
Long-term BZDR use, defined as continuous use of 180 days or longer, and factors associated with long-term vs short-term use, compared using Cox proportional hazards models.
Results
Among the 129 732 incident BZDR users, the mean (SD) age was 52.6 (17.7) years, and 78 017 (60.1%) individuals were women. During the follow-up period, 51 099 BZDR users (39.4%) became long-term users. Long-term treatment was more common in the older subcohort (19 103 individuals [54.5%]) than the younger subcohort (31 996 individuals [33.8%]). At 6 months, 28 586 individuals (22.0%) had become long-term users: 11 805 (33.7%) in the older subcohort and 16 781 (17.7%) in the younger subcohort. The largest proportions of initiators who became long-term users were those persons who initiated treatment with nitrazepam (76.4%; 95% CI, 73.6%-79.1%), temazepam (63.9%; 95% CI, 62.9%-65.0%), lorazepam (62.4%; 95% CI, 59.7%-65.1%), or clonazepam (57.5%; 95% CI, 55.9%-59.2%). Factors associated with the development of long-term use included male sex, older age, receipt of social benefits, psychiatric comorbidities, and substance abuse.
Conclusions and Relevance
The findings of this population-based cohort study conducted in Finland suggest that the incidence of subsequent long-term BZDR use in individuals who initiate use of BZDRs is high, especially among older persons, and that the specific BZDR used initially is associated with the development of long-term BZDR use and should be carefully considered when prescribing BZDRs. The observed factors that appear to be associated with development of long-term BZDR use also should be considered in clinical decision-making when starting and monitoring BZDR treatment.
The rationale for long-term use of benzodiazepines and related drugs (BZDRs) has long been a subject that has divided physicians all over the world.1-3 The main concerns about benzodiazepine use are related to development of tolerance and dependence on regular use as well as adverse events, especially in older individuals.4,5 Consequently, several guidelines and recommendations for BZDR prescribing have been published over the years, emphasizing that duration of use should be limited to the short term (4-12 weeks).6-13 Some authors also suggest that BZDR benefits may persist, at least in specific patient groups,14-17 and that the risk-benefit ratio of long-term use (eg, in anxiety disorders) has not been properly studied in comparison with alternative pharmacotherapeutic approaches such as the administration of selective serotonin reuptake inhibitors.18,19
Despite all the recommendations, a vast amount of literature shows that long-term use is still very common, especially in older patients, and further research on the topic is needed to optimize the use of BZDRs.20,21 Among older persons, BZDR use has been associated with cognitive and psychomotor adverse effects and an increased risk of falls,22 fractures,23,24 and even mortality.25 General factors associated with long-term BZDR use, according to previous studies, include sex, comorbid conditions, older age, lower income, and poorer health status.20,26,27 Some studies point toward problems focused on specific substances, including alprazolam and clonazepam.28-30 Concerns have also been raised about the increasing use of benzodiazepine-related drugs, often called Z-drugs, specifically, zolpidem.28,30,31
However, more information is needed in clinical decision-making when initiating the use of BZDRs, renewing prescriptions, and attempting discontinuation of use. The objective of this study was to investigate the incidence of long-term BZDR use and factors associated with development of long-term use.
This cohort study used data from national, longitudinal, population-based registers in Finland. These registers are linkable through unique personal identity codes that are assigned for all residents, ie, all residents potentially could have been included in the study. The study population was identified from the prescription register maintained by the Social Insurance Institution of Finland. We used data from January 1, 2004, to December 31, 2015, on all reimbursed prescription drug purchases for all residents, categorized according to Anatomical Therapeutic Chemical (ATC) classification codes. Data were linked from the Care Register for Health Care (January 1, 2004, to December 31, 2015), including dates of hospital admissions, discharges, and diagnoses. Data were also collected from other registers of the Social Insurance Institution of Finland, including the special reimbursement register, which contains data since 1972 on persons granted a special refund for drugs because of diagnosed chronic diseases; a register of persons who receive social benefits (based on basic social assistance, labor market subsidy, basic unemployment allowance, national pension, and study grants); and a register of persons who receive child care benefits (maternity allowance, paternity allowance, parental allowance, and child home care allowance). Data on disability pensions were extracted from the Finnish Centre for Pensions (2004-2015). Pertinent institutional authorities at the Finnish Institute for Health and Welfare, the Social Insurance Institution of Finland, the Finnish Centre for Pensions, and Statistics Finland granted permission for this study. According to Finnish legislation, no ethics committee approval or patient consent is required for deidentified register-based research. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.
In this study, BZDR use was defined as ATC codes N03AE01 (clonazepam), N05BA, N05CD, N05CF, and N06CA01 (including chlordiazepoxide) (eTable 1 in the Supplement). Duration of continuous BZDR use was defined using the PRE2DUP (from prescriptions to drug use periods) method (eAppendix in the Supplement).32
The study identified 132 550 persons 18 years or older who initiated BZDR use during 2006 without BZDR use during 2004 to 2005, and they were defined as incident users (eFigure 1 in the Supplement). Long-term use was defined as continuous use lasting 180 days or longer.20 Based on this definition, we excluded 2818 persons who had less than 180 days of follow-up owing to death or long-term (>90 days) hospitalization. Thus, the study cohort included 129 732 persons. The follow-up started at the date of first benzodiazepine purchase (index date) and ended when the definition of long-term use was fulfilled at death, at long-term hospitalization, after 10 years of follow-up, or after 2 years of BZDR nonuse, whichever occurred first. Drug use during hospitalizations is not recorded in the prescription register; thus, exposure status is not known during long hospital care periods. The outcome was 180 days or more of continuous BZDR use, and persons were allowed to have gaps in BZDR use as long as the gap did not exceed 731 days (which corresponds to the length of the washout period for this study). Sensitivity analyses were conducted by restricting the permissible gap to 365 days. Factors associated with long-term BZDR use and exact definitions are provided in eTable 1 in the Supplement.
Descriptive statistics were used to summarize characteristics of incident BZDR users, divided into 2 subcohorts (<65 years and ≥65 years), and to assess incidence of long-term use. Specific drugs were categorized according to the drug or drugs dispensed at the initiation; polytherapy refers to the dispensing of 2 or more BZDRs at the same time. For specific drugs, the proportion of initiators who became long-term users was calculated with 95% CIs, as was the proportion of long-term users who quickly progressed to long-term use without having gaps in drug use (≥180 days of continuous use after initiation).
Time to initiation of long-term use was described by plotting the cumulative incidence of long-term use with time, considering the competing risks of death and long-term hospitalization and censoring to a 2-year gap. Factors associated with long-term use compared with short-term use were assessed with Cox proportional hazards models, and the results were reported as hazard ratios (HRs) with 95% CIs. Proportional hazards assumptions were confirmed by exploring parallelism of log-negative and log-estimated survival curves. The effect of each variable was adjusted for the effects of all other variables in a full model. Variables with a strong correlation with 1 or more other variables and variables with a cell count of less than 200 were removed. Statistical analysis was conducted using SAS statistical software, version 9.4 (SAS Institute). Data were analyzed from May 2019 to February 2020.
The study population included all 129 732 incident BZDR users in 2006 in Finland. Age ranged from 18 to 103 years, with a mean (SD) age of 52.6 (17.7) years, and 78 017 individuals (60.1%) were women. In the younger subcohort of 94 674 individuals, the mean (SD) age was 44.2 (12.4) years, the median age was 46 (interquartile range [IQR], 35-55) years, and 55 091 (58.2%) were women. In the older subcohort of 35 058 individuals, the mean (SD) age was 75.2 (6.9) years, the median (IQR) age was 75 (69-80) years, and 22 926 (65.4%) were women.
Most Common BZDRs Initiated
In both subcohorts, zopiclone was the most common BZDR at the initiation of use; 30 176 (31.9%) of the younger users and 13 875 (39.6%) of the older users initiated treatment with zopiclone. The second, third, and fourth most common substances were zolpidem (21.2%), oxazepam (15.7%), and alprazolam (9.8%) for the younger users and oxazepam (16.2%), temazepam (12.6%), and zolpidem (11.8%) for the older subcohort. Initiation with more than 1 BZDR simultaneously was observed for 2109 individuals (2.2%) in the younger subcohort and 444 individuals (1.3%) in the older subcohort.
Incidence of Long-term Use
During the study follow-up period (median [IQR], 2.1 [1.0-2.9] years), 51 099 BZDR users (39.4%) became long-term users. In total, 31 996 individuals (33.8%) in the younger subcohort fulfilled the definition for long-term use during the median (IQR) follow-up period of 2.1 (1.7-3.0) years, whereas the corresponding figure for the older subcohort was 19 103 individuals (54.5%) during the median (IQR) follow-up of 2.1 (0.5-2.6) years. Cumulative incidence of long-term use is presented in eFigure 2 in the Supplement. At 6 months, 28 586 individuals (22.0%) had become long-term users, and the proportion was larger among the older subcohort (11 805 individuals [33.7%]) than in the younger subcohort (16 781 [17.7%]).
Description of Long-term Users
Two measures describe the potential for long-term use: the proportion of initiators who become long-term users and the proportion of long-term users who progress to long-term use without gaps in drug use. The largest proportions of initiators who became long-term users were those who initiated treatment with nitrazepam (76.4%; 95% CI, 73.6%-79.1%), temazepam (63.9%; 95% CI, 62.9%-65.0%), lorazepam (62.4%; 95% CI, 59.7%-65.1%), or clonazepam (57.5%; 95% CI, 55.9%-59.2%) (Figure 1). Among those who became long-term users, the largest proportions without gaps in use were those who used lorazepam (84.2%), nitrazepam (83.9%), or clonazepam (80.0%) (Table 1). In terms of both measures, those who initiated with zolpidem had the lowest probability of long-term use; 27.9% became long-term users, and 31.0% of those had no gaps in use. The mean (SD) age of initiators was highest for nitrazepam (70.5 [14.6] years) and temazepam (65.6 [16.2] years) and lowest for alprazolam (43.8 [15.8] years). Extremities of sex distribution were noted for those who initiated treatment with an amitriptyline-chlordiazepoxide combination (71.0% women) and chlordiazepoxide (26.8% women).
Univariate associations of characteristics associated with long-term use compared with short-term use are presented in Table 2 (entire cohort) and in eTable 2 (younger subcohort) and eTable 3 (older subcohort) in the Supplement.
Factors Associated With Long-term Use
The adjusted model for characteristics associated with long-term BZDR treatment in the younger subcohort identified several sociodemographic factors and comorbid conditions (Figure 2). These were male sex; older working age; use of opioids, antidepressants, antiepileptics, and/or muscle relaxants; and comorbidities including schizophrenia, substance abuse, chronic heart failure, and Parkinson disease. Having a disability pension and receiving social benefits were also associated with long-term use. In terms of initiating BZDRs compared with diazepam initiation, nitrazepam, clonazepam, lorazepam, temazepam, polytherapy, and an amitriptyline-chlordiazepoxide combination were positively associated with long-term use, whereas oxazepam, alprazolam, chlordiazepoxide alone, zopiclone, and zolpidem were inversely associated with long-term use.
The adjusted model for the older subcohort identified characteristics associated with long-term treatment as somewhat similar to those in the younger subcohort (Figure 3). These were male sex, older age, use of antidepressants or opioids, receipt of social benefits, and comorbidities including schizophrenia, substance abuse, Parkinson disease, and Alzheimer disease, with almost all other comorbid conditions also showing a positive association with long-term treatment (HRs 1.06-1.16). When compared with initiation of treatment with diazepam, initiation with nitrazepam, temazepam, polytherapy, lorazepam, clonazepam, oxazepam, amitriptyline-chlordiazepoxide, and zopiclone were positively associated with long-term use, whereas zolpidem and alprazolam were inversely associated with long-term use. Characteristics associated with long-term BZDR use in the total cohort are reported in Table 2, and the adjusted model is shown in eFigure 3 in the Supplement.
In sensitivity analyses, with a permissible gap of 365 days, 43 945 BZDR users (33.9%) became long-term users. In the subcohorts, 27 045 persons (28.6%) younger than 65 years and 16 900 (48.2%) of those aged 65 years or older became long-term users by this definition. By restricting the cohort to exclude epilepsy, the proportions of individuals turning to long-term use were similar to the main analyses (39.2% of the full cohort, 33.6% of the younger subcohort, and 54.4% of the older subcohort). Only 109 of 3382 clonazepam treatment initiators used the drug for epilepsy indication, based on reimbursements.
Prescribing guidelines strongly emphasize that BZDR treatment should only be prescribed for a short term (ie, between 4 and 12 weeks, including a discontinuation period).6-13 Yet, the results of this study suggest that new BZDR users frequently become long-term users; one-third of persons younger than 65 years and about 55% of persons aged 65 years or older were defined as long-term users, and a substantial proportion developed long-term use quickly, without having any gaps in use after initiation. Use of clonazepam, lorazepam, temazepam, and polytherapy at initiation of treatment was associated with long-term treatment when compared with diazepam, whereas an inverse association with long-term treatment was found for alprazolam and zolpidem. Becoming a long-term user was associated with male sex, older age, receipt of social benefits, psychiatric comorbidities, substance abuse, and use of opioids and/or antidepressants.
This study’s findings suggest that the incidence of subsequent long-term use after BZDR initiation is substantially high. A systematic review of previous studies found that long-term use (defined as ≥6 months of use) was observed in 6% to 15% of all people who used BZDRs and in up to 50% of older persons who used them.20 Previous studies have mainly assessed long-term BZDR use in prevalent users, whereas this study population included only incident BZDR users. Previous studies assessing new BZDR users have found that the incidence of long-term use is 11.8% in the general population,33 9% among working-aged persons (requiring longer use periods of ≥8 months without gaps),34 26% among older adults,35 22% among persons with bipolar disorder,29 and 30% among older persons with Alzheimer disease.36 All of these estimates are lower than the 39.4% incidence reported in this study. Methodological differences, such as whether or not gaps were allowed in drug use, exist among these studies. However, we also found that 22% of people who used BZDRs developed long-term use within the first 6 months (without having any gaps in use). This estimate is similar to a previous Japanese study in which 20% of BZDR initiators used the drug for 6 months or longer.37
The high incidence of long-term BZDR use may reflect a lack of effective and safe alternatives to these drugs. Selective serotonin reuptake inhibitors and serotonin-norepinephrine reuptake inhibitors may be used for treatment of anxiety disorders because they are considered to have a more favorable risk-benefit ratio than BZDRs,38 although discontinuation or withdrawal syndrome associated with discontinued use of these drugs is currently debated.39 The majority of previous studies have consistently shown that the most common long-term BZDR treatment pattern is with a low and steady dosage, without dose escalation.20 For this reason, some clinicians insist that there is a small proportion of working-aged long-term BZDR users who experience a favorable risk-benefit ratio and relatively few adverse effects.38 Further research is needed for the assessment of risks and benefits of BZDRs and their alternatives for these patients. At the same time, the adverse events associated with long-term BZDR treatment, especially among older individuals, such as increased risk of falls22 and fractures,23,24 are a real problem. Owing to aging-related changes in the distribution and elimination of drugs,40 the elimination half-life of BZDRs is prolonged by aging, which predisposes older individuals to adverse effects and events. Older individuals also have a higher sensitivity to the pharmacological action of benzodiazepines, which is not explained by pharmacokinetic factors such as plasma concentrations, half-life, or volume of distribution.41 These pharmacodynamic changes may present as pronounced sedation and sensitivity to cognitive effects, which should be kept in mind in clinical decision-making. Possibly lower risk of misuse of BZDRs in older persons should be balanced with the substantial risk of becoming long-term users, as shown in this study. Although some BZDRs were associated with a lower risk of long-term use, the risk reported was relative to that of diazepam; thus, the lower HRs for some BZDRs should not be interpreted as their being safer options in absolute terms when prescribing these medications.
The clinical choice of the initial BZDR was associated with a differential risk for long-term use. Clonazepam was associated with a higher risk for development of long-term use, which is consistent with previous prevalence studies.28,29 Clonazepam is a high-potency benzodiazepine with a long elimination half-life,42 and it was used mainly for nonepilepsy indications in this study. However, its high potency may be associated with escalated development of tolerance and related adverse events. Use of clonazepam should be carefully considered, as its abuse liability has been documented.43 Also, starting treatment with lorazepam, temazepam, or polytherapy was associated with a higher risk for long-term use, whereas the drugs most often prescribed, oxazepam and Z-drugs, were associated with the lowest risk for long-term use, supporting the rationale for current BZDR treatment guidelines and recommendations.
This study’s finding that alprazolam was associated with a lower risk for long-term use was somewhat surprising, as alprazolam has been associated with increased risk of long-term use in previous studies29,33 and is suspected to be more likely to cause physical dependence because of its high potency and short half-life.44,45 It is possible that alprazolam was prescribed selectively or restrictively in the whole study population owing to concerns of dependence and was avoided in persons judged to have a high liability for dependence. This selection may also apply to other specific BZDRs, and thus, the association with relative safety does not imply that any BZDR would be resistant to misuse or abuse.
We identified multiple factors associated with development of long-term use, including male sex, older age, receipt of social benefits, psychiatric comorbidities, and substance abuse. Most of these factors have also been reported in previous studies,20,26,29,34,36,46 with some controversies, eg, regarding sex.20,29,34,36,46 These findings can be useful in clinical decision-making by identifying more precisely those patients who might be at risk of developing long-term use of BZDRs.
Strengths and Limitations
This study has strengths. It included a large, nationwide cohort of adults initiating BZDR use, which ensured good generalizability. The new-user design with a 2-year washout period was used to define incident users, and the long follow-up time enabled identification of persons who became long-term users somewhat later after the first use. We used the recommended definition of long-term use20,47 as 6 months or longer and modeled duration of drug use with the validated PRE2DUP method.32,48 Our classification of BZDRs included the whole range of benzodiazepine-related substances as well as clonazepam, which is coded as an antiepileptic in the ATC classification, and a combination product containing chlordiazepoxide and amitriptyline.
This study also has limitations. Some (but not all) smaller packages of BZDRs were not reimbursed and thus were not recorded in the data. It is possible that some persons initiated use with a smaller, nonreimbursed package and continued with a larger, reimbursed package; therefore, this study’s estimates of long-term use would be conservative.
The study cohort was restricted to community-dwelling persons in a single country with a relatively homogeneous population, which may limit generalizability. Some new BZDR users may have previously used BZDRs before the BZDR-free period of 2 years. Although a range of comorbid conditions was derived from registers, these data sources have inherent limitations. Register-based data do not indicate whether dispensed drugs have actually been used49; this, however, may be a lesser problem than recreational use. The Care Register for Health Care data were based on inpatient care only, and thus, diagnoses may have represented only the most severe cases. For many diagnoses, data from the special reimbursement register were also used, and the register also provides diagnoses from primary care. However, register-based data lack information on severity of diseases and symptoms as well as, for example, smoking, alcohol use, and nutrition, and consequent residual confounding may still exist. Choices made with respect to drugs and drug forms were aimed at excluding BZDR use for epilepsy indication; thus, the results should only be interpreted to nonepilepsy indications. In addition, this study lacked data on whether BZDR use was initiated during hospital care.
Although BZDRs are a useful medication class in the treatment of various psychiatric and neurological disorders, the known adverse effects related to long-term BZDR treatment are still a frequent challenge for the prescribing clinician. In this study, the proportion of BZDR initiators who developed long-term use was high, especially in the older age group, and was also associated with the initial choice of specific BZDR drug. These results are valuable for optimization of BZDR treatment in clinical practice, for algorithms designed for knowledge-based treatment decisions, and in the early consideration of potential clinical and sociodemographic risk factors when prescribing BZDRs for the first time.
Accepted for Publication: July 21, 2020.
Published: October 29, 2020. doi:10.1001/jamanetworkopen.2020.19029
Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2020 Taipale H et al. JAMA Network Open.
Corresponding Author: Heidi Taipale, PhD, Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Niuvankuja 65, 70240, Kuopio, Finland (heidi.taipale@uef.fi).
Author Contributions: Dr Taipale had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Concept and design: All authors.
Acquisition, analysis, or interpretation of data: Taipale, Tanskanen, Taiminen, Tiihonen, Sund, Tuulio-Henriksson, Saastamoinen, Hietala.
Drafting of the manuscript: Taipale, Särkilä, Tanskanen, Kurko, Taiminen, Tuulio-Henriksson, Hietala.
Critical revision of the manuscript for important intellectual content: Taipale, Kurko, Tiihonen, Sund, Tuulio-Henriksson, Saastamoinen, Hietala.
Statistical analysis: Taipale, Tanskanen.
Obtained funding: Kurko, Hietala.
Administrative, technical, or material support: Tanskanen, Kurko, Saastamoinen, Hietala.
Supervision: Taiminen, Sund, Hietala.
Conflict of Interest Disclosures: Drs Taipale, Tanskanen, and Tiihonen reported participating in research projects funded by grants from Janssen-Cilag and Eli Lilly to their employing institution outside the submitted work. Dr Taipale reported receiving grants and personal fees from Janssen and grants from Eli Lilly outside the submitted work. Dr Taiminen reported receiving personal fees from AstraZeneca, Bayer, Bristol-Myers Squibb, Efeko, Eisai, GlaxoSmithKline, Eli Lilly, Lundbeck, Nexstim, Orion Ltd, Pfizer, Schering-Plough, and UCB. Dr Tiihonen reported receiving grants and personal fees from Eli Lilly and Janssen-Cilag and personal fees from Lundbeck, Otsuka, the Finnish Medicines Agency (Fimea), and the European Medicines Agency outside the submitted work and is a member of the advisory board for Lundbeck. Dr Saastamoinen reported receiving grants from the Social Insurance Institution of Finland outside the submitted work. Dr Hietala reported receiving research grants from the Social Insurance Institution of Finland and personal fees from DelsiTech, Orion Ltd, Lundbeck, Otsuka, and Takeda during the conduct of the study. No other disclosures were reported.
Funding/Support: This study was funded by grant 30/522/2013 from the Social Insurance Institution of Finland (Dr Kurko) and grant 603459 from EVO funding, Turku City (Dr Särkilä).
Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
2.Rowntree
R, Sweeney
J, Crumlish
N, Flynn
G. How do we compare with best practice? a completed audit of benzodiazepine and z-hypnotic prescribing.
Ir J Psychol Med. 2018;35(4):321-324. doi:
10.1017/ipm.2016.24
PubMedGoogle ScholarCrossref 7.National Institute for Health and Care Excellence.
Generalised Anxiety Disorder and Panic Disorder in Adults: Management. National Institute for Health Care and Excellence; 2011. Clinical guideline [CG113]. Updated July 26, 2019. Accessed September 17, 2020.
https://www.nice.org.uk/guidance/cg113 11.Katzman
MA, Bleau
P, Blier
P,
et al; Canadian Anxiety Guidelines Initiative Group on behalf of the Anxiety Disorders Association of Canada/Association Canadienne des troubles anxieux and McGill University. Canadian clinical practice guidelines for the management of anxiety, posttraumatic stress and obsessive-compulsive disorders.
BMC Psychiatry. 2014;14(suppl 1):S1. doi:
10.1186/1471-244X-14-S1-S1
PubMedGoogle ScholarCrossref 12.Baldwin
DS, Anderson
IM, Nutt
DJ,
et al. Evidence-based pharmacological treatment of anxiety disorders, post-traumatic stress disorder and obsessive-compulsive disorder: a revision of the 2005 guidelines from the British Association for Psychopharmacology.
J Psychopharmacol. 2014;28(5):403-439. doi:
10.1177/0269881114525674
PubMedGoogle ScholarCrossref 22.Seppala
LJ, Wermelink
AMAT, de Vries
M,
et al; EUGMS task and Finish group on fall-risk-increasing drugs. Fall-risk–increasing drugs: a systematic review and meta-analysis, II: psychotropics.
J Am Med Dir Assoc. 2018;19(4):371.e11-371.e17. doi:
10.1016/j.jamda.2017.12.098
PubMedGoogle ScholarCrossref 25.Saarelainen
L, Tolppanen
A-M, Koponen
M,
et al. Risk of death associated with new benzodiazepine use among persons with Alzheimer disease: a matched cohort study.
Int J Geriatr Psychiatry. 2018;33(4):583-590. doi:
10.1002/gps.4821
PubMedGoogle ScholarCrossref 27.Sidorchuk
A, Isomura
K, Molero
Y,
et al. Benzodiazepine prescribing for children, adolescents, and young adults from 2006 through 2013: a total population register-linkage study.
PLoS Med. 2018;15(8):e1002635. doi:
10.1371/journal.pmed.1002635
PubMedGoogle Scholar 28.Kurko
T, Saastamoinen
LK, Tuulio-Henriksson
A,
et al. Trends in the long-term use of benzodiazepine anxiolytics and hypnotics: a national register study for 2006 to 2014.
Pharmacoepidemiol Drug Saf. 2018;27(6):674-682. doi:
10.1002/pds.4551
PubMedGoogle ScholarCrossref 34.Takano
A, Ono
S, Yamana
H,
et al. Factors associated with long-term prescription of benzodiazepine: a retrospective cohort study using a health insurance database in Japan.
BMJ Open. 2019;9(7):e029641. doi:
10.1136/bmjopen-2019-029641
PubMedGoogle Scholar 36.Taipale
H, Koponen
M, Tanskanen
A, Tolppanen
A-M, Tiihonen
J, Hartikainen
S. Long-term use of benzodiazepines and related drugs among community-dwelling individuals with and without Alzheimer’s disease.
Int Clin Psychopharmacol. 2015;30(4):202-208. doi:
10.1097/YIC.0000000000000080
PubMedGoogle ScholarCrossref 38.Offidani
E, Guidi
J, Tomba
E, Fava
GA. Efficacy and tolerability of benzodiazepines versus antidepressants in anxiety disorders: a systematic review and meta-analysis.
Psychother Psychosom. 2013;82(6):355-362. doi:
10.1159/000353198
PubMedGoogle ScholarCrossref 39.Fava
GA, Benasi
G, Lucente
M, Offidani
E, Cosci
F, Guidi
J. Withdrawal symptoms after serotonin-noradrenaline reuptake inhibitor discontinuation: systematic review.
Psychother Psychosom. 2018;87(4):195-203. doi:
10.1159/000491524
PubMedGoogle ScholarCrossref 42.Chouinard
G. Issues in the clinical use of benzodiazepines: potency, withdrawal, and rebound.
J Clin Psychiatry. 2004;65(suppl 5):7-12.
PubMedGoogle Scholar 43.Frauger
E, Pauly
V, Pradel
V,
et al. Evidence of clonazepam abuse liability: results of the tools developed by the French Centers for Evaluation and Information on Pharmacodependence (CEIP) network.
Fundam Clin Pharmacol. 2011;25(5):633-641. doi:
10.1111/j.1472-8206.2010.00882.x
PubMedGoogle ScholarCrossref 48.Taipale
H, Tanskanen
A, Koponen
M, Tolppanen
AM, Tiihonen
J, Hartikainen
S. Agreement between PRE2DUP register data modeling method and comprehensive drug use interview among older persons.
Clin Epidemiol. 2016;8:363-371. doi:
10.2147/CLEP.S116160
PubMedGoogle ScholarCrossref