Literature DB >> 32579193

Assessment of Physician Prescribing of Muscle Relaxants in the United States, 2005-2016.

Samantha E Soprano1,2, Sean Hennessy1,2,3,4, Warren B Bilker1,2,5, Charles E Leonard1,2,3.   

Abstract

Importance: Little is known to date about national trends in the prescribing of skeletal muscle relaxants (SMRs), the use of which is associated with important safety concerns, especially in older adults and in those who use concomitant opioids. Objective: To measure national trends in SMR prescribing over a 12-year period. Design, Setting, and Participants: This cross-sectional study used data from the National Ambulatory Medical Care Survey from January 2005 to December 2016. Data were analyzed from August 21, 2018, to July 18, 2019. The study included patients with ambulatory care visits who had encounters with non-federally funded, office-based physicians in the United States. Exposures: SMR use, categorized as newly prescribed or continued therapy at the office visit. Main Outcomes and Measures: Ambulatory care visits-overall and stratified by calendar year, geographic region, and patient age, sex, and race-in which an SMR was newly prescribed or continued were quantified. Among office visits in which an SMR was newly prescribed, diagnoses were assessed. Concomitant medications were quantified for all office visits, stratified by new or continued therapy. Survey visit weights were used to estimate nationally representative measures, and age-standardized rates were generated by geographic region using US Census data.
Results: This study included a total of 314 970 308 office visits (mean [SD] age, 53.5 [15.2] years; 194 621 102 [61.8%] men and 120 349 206 [38.2%] women). In 2016, there were 30 730 262 (95% CI, 30 626 464-30 834 060) US ambulatory care visits in which an SMR was either newly prescribed or continued as ongoing therapy. Patients in these visits were most frequently female (58.2% [95% CI, 57.9%-58.6%]), white (53.7% [95% CI, 53.4%-54.0%]), and aged 45 to 64 years (48.5% [95% CI, 48.2%-48.9%]). During the study period, office visits with a prescribed SMR nearly doubled from 15.5 million (95% CI, 15.4-15.6 million) in 2005 to 30.7 million (95% CI, 30.6-30.8 million) in 2016. Although visits for new SMR prescriptions remained stable, office visits with continued SMR drug therapy tripled from 8.5 million (95% CI, 8.4-8.5 million) visits in 2005 to 24.7 million (95% CI, 24.6-24.8 million) visits in 2016. Older adults accounted for 22.2% (95% CI, 21.8%-22.6%) of visits with an SMR prescription. Concomitant use of an opioid was recorded in 67.2% (95% CI, 62.0%-72.5%) of all visits with a continuing SMR prescription. Conclusions and Relevance: This study found that SMR use increased rapidly between 2005 and 2016, which is a concern given the prominent adverse effects and limited long-term efficacy data associated with their use. These findings suggest that approaches are needed to limit the long-term use of SMRs, especially in older adults, similar to approaches to limit long-term use of opioids and benzodiazepines.

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Year:  2020        PMID: 32579193      PMCID: PMC7315288          DOI: 10.1001/jamanetworkopen.2020.7664

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


Introduction

In response to the opioid epidemic, clinicians and patients are increasingly seeking alternatives to opioids for the management of musculoskeletal conditions. Centrally acting skeletal muscle relaxants (SMRs), such as baclofen, carisoprodol, chlorzoxazone, cyclobenzaprine, metaxalone, methocarbamol, orphenadrine, and tizanidine, are labeled for acute musculoskeletal conditions including spasms and lower back pain; they are used off-label for neuropathic pain, chronic noncancer pain, temporomandibular disorder pain, and numerous nonpain conditions.[1] A 2003 systematic review concluded that SMRs are effective for acute low back pain (although their comparative effectiveness vs analgesics or nonsteroidal anti-inflammatory drugs for acute low back pain is unknown), the evidence for chronic low back pain is less convincing, and SMRs must be used with caution because of central nervous system adverse effects, such as drowsiness and dizziness.[2] Because of the lack of evidence regarding the long-term efficacy and safety of SMRs and the unquantified risk of abuse, dependence, and overdose,[1,3] recommendations generally limit the use of SMRs to a maximum duration of 2 to 3 weeks.[4] Despite such recommendations, a 1988-1994 study found that 44.5% of people taking SMRs were continuously treated for longer than 1 year.[5] Carisoprodol, chlorzoxazone, cyclobenzaprine, methocarbamol, metaxalone, and orphenadrine are all considered potentially inappropriate medications in older adults,[6,7] in whom these agents are associated with sedation, cognitive impairment, and fracture.[8] An additional concern regarding the inappropriate use of SMRs is the potential for drug-drug interactions, particularly with opioids.[9] We sought to characterize national trends in SMR prescribing, both overall and in older adults, and to examine the concomitant prescribing of SMRs with opioids. Therefore, we examined nationally representative data from the National Ambulatory Medical Care Survey (NAMCS) for the 12-year period spanning from 2005 to 2016.

Methods

We conducted a retrospective cross-sectional analysis of SMR prescribing using publicly available NAMCS data from January 2005 to December 2016. NAMCS is a US-based, annual survey of non–federally funded office-based physicians engaged in direct patient care.[10] Survey data are collected from sampled health care professionals by trained proctors. Office visit records are weighted based on the most recently available census data to provide a nationally representative view of all ambulatory care visits in the United States. The survey captures information about the office visit, such as the reason for the encounter and diagnoses, medications, and demographic information about the patient, as well as information about the provider and their practice. We identified all office visits in which an SMR was recorded as either newly prescribed or continued ongoing drug therapy, referred to herein as an SMR visit. To limit the data set to records of interest, we generated a list of Lexicon Plus (Cerner Multum Inc) drug identification codes for baclofen, carisoprodol, chlorzoxazone, cyclobenzaprine, metaxalone, methocarbamol, orphenadrine, and tizanidine. From these records, we extracted visit information, patient demographic characteristics, and record weights to generate national estimates. We examined the total number of visits per year; the race, ethnicity, and sex of the patient; and the region of the visit. Furthermore, we stratified counts by SMR agent and whether the SMR was newly prescribed or continued drug therapy. We identified patients who were newly prescribed an SMR during the recorded visit by linking the new or continued status of reported medications (NCMed) variable to the SMR drug identification code. The NCMed variable indicates whether the medication was newly prescribed during the office visit or the patient was instructed to continue the medication as a part of their ongoing drug therapy. We examined the number of visits per year, the patient’s primary reason for the office visit, and all recorded diagnoses. All concomitant medications were examined for new SMR visits, and concomitant opioids were examined for continued SMR visits. A list of variables used, corresponding NAMCS variable names, and the population in which they were examined are presented in eTable 1 in the Supplement. For variables permitting multiple entries per visit, we included all entries without regard to ordering, eg, using all 5 diagnosis fields recorded in the 2016 survey. We conducted analyses using the Statistical Package for Social Scientists, version 25 (IBM Corp) from August 21, 2018, to July 18, 2019. The University of Pennsylvania’s Office of Regulatory Affairs determined that this research did not require institutional review board oversight because the NAMCS is a publicly available data set. This article complies with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline for cross-sectional studies.[11]

Results

Patient demographic characteristics for SMR visits are shown in Table 1. The cross-sectional analysis included a total of 314 970 308 office visits (mean [SD] age, 53.5 [15.2] years; 194 621 102 [61.8%] men and 120 349 206 [38.2%] women). In 2016, there were 30 730 262 (95% CI, 30 626 464-30 834 060) US ambulatory care visits in which an SMR was either newly prescribed or continued as ongoing therapy. Patients prescribed an SMR in 2016 tended to be female (58.2% [95% CI, 57.9%-58.6%] women vs 41.8% [95% CI, 41.4%-42.1%] men). Racial demographic characteristics for SMR users in 2016 were as follows: 53.7% white (95% CI, 53.4%-54.0%), 10.2% African American (95% CI, 9.7%-10.6%), 1.2% Asian (95% CI, 1.0%-1.5%), and 2.2% Native American or Alaska Native (95% CI, 2.0%-2.5%). There were no data available for Native Hawaiians, and 1.5% (95% CI, 1.3%-1.8%) of patients had more than 1 race reported. As shown in eTable 2 in the Supplement and Figure 1, the number of US office visits in which an SMR was either newly prescribed or continued doubled from 15.5 million (95% CI, 15.4-15.6 million) visits in 2005 to 30.7 million (95% CI, 30.6-30.8 million) visits in 2016. During this 12-year period, the number of office visits resulting in new SMR prescriptions remained relatively stable at approximately 6 million (95% CI, 6.0-6.3 million) per year, whereas office visits for continued SMR drug therapy tripled from 8.5 million (95% CI, 8.4-8.5 million) to 24.7 million (95% CI, 24.6-24.8 million).
Table 1.

Demographic Distribution of Patients in All SMR Office Visits, 2005-2016

VariableYear
200520062007200820092010201120122013201420152016
Sex
Female61.9 (61.5-62.3)58.1 (57.7-58.3)61.2 (60.9-61.4)65.4 (65.0-65.6)67.3 (67.0-68.5)62.9 (62.7-63.1)65.7 (65.5-65.9)61.0 (60.9-61.1)59.0 (58.9-59.1)65.2 (65.0-65.2)57.5 (54.2-60.7)58.2 (57.9-58.6)
Male38.1 (37.7-38.6)41.9 (41.6-42.3)38.9 (38.6-39.1)34.6 (34.3-34.9)32.7 (32.4-32.9)37.1 (36.8-37.3)34.3 (34.0-35.5)38.9 (38.9-39.1)41.0 (40.9-41.1)34.8 (34.7-35.0)42.5 (42.0-43.0)41.8 (41.4-42.1)
Age, y
<150.7 (0.4-1.1)1.0 (0.6-1.4)0.2 (0.00-0.4)0.9 (0.7-1.1)0.5 (0.3-0.8)0.2 (0.1-0.2)1.2 (09-1.3)0.7 (0.1-1.5)0.4 (0.3-0.5)0.6 (0.6-0.7)0.3 (0.2-0.4)0.3 (0.1-0.5)
15-247.4 (7.0-7.8)8.7 (8.4-9.1)5.3 (5.0-5.6)3.4 (3.1-3.7)2.5 (2.3-2.7)4.2 (3.9-4.5)2.6 (2.3-2.8)3.7 (3.6-3.8)3.6 (3.5-3.7)2.9 (2.2-3.1)1.8 (1.4-2.2)4.1 (3.7-4.4)
25-4431.2 (30.8-31.7)33.8 (33.4-34.0)37.2 (36.8-37.4)32.4 (32.1-32.7)26.8 (26.6-27.0)28.2 (27.9-29.3)29.1 (28.9-29.3)26.8 (26.7-26.9)23.3 (23.1-23.3)24.7 (24.6-24.8)21.0 (20.6-21.3)24.9 (24.6-25.2)
45-6441.8 (40.9-42.0)42.7 (42.2-43.0)41.6 (41.3-41.8)42.6 (42.3-42.9)52.4 (52.2-52.7)50.4 (50.2-50.7)49.4 (49.1-49.6)49.1 (49.0-49.2)51.9 (51.8-52.0)49.3 (48.6-49.5)48.7 (48.3-49.0)48.5 (48.2-48.9)
≥6516.4 (15.9-16.8)17.6 (16.2-17.9)15.8 (15.4-16.0)20.7 (20.4-21.0)17.8 (17.5-18.3)17.0 (16.8-17.3)17.8 (17.6-17.9)19.7 (19.6-19.7)20.9 (20.7-21.0)22.5 (22.4-22.6)28.3 (27.8-28.7)22.2 (21.8-22.6)
Race/ethnicity
White87.8 (87.4-88.2)84.3 (83.9-84.6)57.7 (57.5-57.9)56.2 (55.9-56.5)69.4 (69.1-69.7)66.3 (66.0-66.8)65.3 (65.0-65.4)56.7 (56.6-56.8)58.6 (58.5-58.7)64.7 (64.5-64.8)60.4 (60.1-60.8)53.7 (53.3-54.0)
African American10.3 (9.9-10.7)12.7 (12.3-13.0)10.3 (9.9-10.6)10.1 (9.8-10.4)11.2 (10.9-11.5)13.7 (13.4-13.9)8.8 (8.4-9.0)7.9 (7.8-8.0)10.8 (10.6-10.9)7.7 (7.6-7.8)11.5 (11.2-11.7)10.2 (9.7-10.6)
Asian1.4 (1.1-1.7)1.3 (0.9-1.5)1.0 (0.7-1.3)1.1 (0.9-1.2)0.7 (0.5-0.8)0.3 (0.2-0.4)1.7 (1.0-2.0)1.1 (1.1-1.3)1.8 (1.2-2.0)2.2 (2.2-2.7)0.4 (2.8-6.1)1.2 (1.0-1.5)
Native HawaiianNR0.9 (0.7-1.1)NRNRNRNRNR0.2 (0.0-0.3)0.8 (0.0-0.1)1.3 (1.0-1.4)NRNR
Native American or Alaska NativeNR2.2 (0.5-1.3)0.4 (0.1-0.5)NR0.1 (0.0-0.2)0.2 (0.1-0.2)0.4 (0.2-0.5)0.3 (0.2-0.4)0.2 (0.1-0.2)0.7 (0.6-0.8)0.2 (0.1-0.3)2.2 (2.0-2.5)
>1 Race/ethnicity reportedNR0.1 (0.0-0.1)NR0.7 (0.0-0.1)0.3 (0.0-0.4)NRNR0.3 (0.2-0.4)0.2 (0.1-0.3)0.3 (0.2-0.3)NR1.5 (1.3-1.8)

Abbreviations: NR, not reported; SMR, skeletal muscle relaxant.

Values are expressed as percentage (95% CI).

Figure 1.

National SMR Utilization Stratified by New vs Continued Use, 2005-2016

SMR indicates skeletal muscle relaxant.

Abbreviations: NR, not reported; SMR, skeletal muscle relaxant. Values are expressed as percentage (95% CI).

National SMR Utilization Stratified by New vs Continued Use, 2005-2016

SMR indicates skeletal muscle relaxant. Adults older than 65 years accounted for 22.2% (95% CI, 21.9%-22.6%) of SMR visits in 2016, although this group accounted for just 14.5% of the US population.[12] In 2016, the demographic characteristics of the other age groups were as follows: 0.3% (95% CI, 0.1%-0.5%) younger than 15 years, 4.1% (95% CI, 3.7%-4.4%) aged 15 to 24 years, 24.9% (95% CI, 24.6%-25.2%) aged 25 to 44 years, and 48.5% (95% CI, 48.2%-48.9%) aged 45 to 65 years. As shown in Figure 2, the proportion of visits that were SMR visits among patients 65 years and older increased 3-fold (from 1.3 SMR visits [95% CI, 1.0-1.7] per 100 office visits in 2005 to 4.3 SMR visits [95% CI, 4.1-4.6] per 100 office visits in 2016). The prescription of SMRs to older adults considered potentially inappropriate medications in this population (ie, carisoprodol, chlorzoxazone, cyclobenzaprine, metaxalone, methocarbamol, and orphenadrine) approximately doubled from 2.2 million (95% CI, 2.1-2.4 million) office visits in 2005 to 4.3 million (95% CI, 4.2-4.5 million) office visits in 2016.
Figure 2.

National SMR Utilization Rates Among Adults Aged 65 Years or Older, Stratified by New vs Continued Use, 2005-2016

SMR indicates skeletal muscle relaxant.

National SMR Utilization Rates Among Adults Aged 65 Years or Older, Stratified by New vs Continued Use, 2005-2016

SMR indicates skeletal muscle relaxant. The most common diagnoses between 2005 and 2015 reported for new SMR visits are shown in Table 2; the diagnosis coding system used for the NAMCS data shifted from the International Classification of Diseases, Ninth Revision, Clinical Modification to the International Classification of Diseases, Tenth Revision, Clinical Modification in 2016. The most common diagnoses during these visits were related to back pain and other musculoskeletal conditions; this pattern was maintained in 2016. As shown in Table 2, among new SMR visits, hydrocodone-acetaminophen was the most common concomitant therapy. Other analgesics, such as ibuprofen, naproxen, and tramadol, were also commonly used. As shown in eTable 3 in the Supplement, in 2016, 67.2% (95% CI, 62.0%-72.5%) of continuing SMR visits recorded concomitant therapy with an opioid, in contrast to 10.3% (95% CI, 9.8%-13.2%) of all ambulatory care visits nationally.
Table 2.

Visit Diagnoses (2005-2015) and Concomitant Medications (2005-2016) Among New SMR Visits

VariableOffice visits, No. (95% CI)
Diagnosis (ICD-9-CM code) (n = 78 671 742)b
Other and unspecified disorders of back (724.9)26 496 352 (25 635 583-27 357 121)
Sprains and strains of other and unspecified parts of back (847.9)10 148 115 (9 559 679-10 736 551)
Spinal stenosis in cervical region (723.0)8 205 661 (7 448 293-8 963 029)
Other disorders of soft tissues (729.99)6 512 583 (5 996 830.56-7 028 335)
Essential hypertension (401.1)6 049 615 (5 708 365-6 390 866)
Intervertebral disc disorders (722.90)6 030 779 (5 425 636-6 635 922)
Disorders of muscle, ligament, and fascia (728.79)4 585 666 (4 254 719-4 916 613)
Anxiety state (300.0)3 167 519 (2 303 704-4 031 334)
Other and unspecified disorders of joint (719.98)2 989 405 (2 688 389-3 290 421)
Disorders of lipoid metabolism (272.9)2 694 600 (2 362 481-3 026 719)
Concomitant medication (n = 84 850 041)c
Hydrocodone-acetaminophen14 096 447 (13 380 518-14 812 376)
Ibuprofen12 531 204 (12 004 039-13 058 369)
Naproxen9 820 338 (9 321 411-10 319 265)
Tramadol5 011 229 (4 680 556-5 341 902)
Lisinopril4 208 202 (1 105 116-7 311 288)
Meloxicam4 069 328 (3 556 643-4 582 013)
Aspirin3 969 403 (3 649 823-4 288 983)
Omeprazole3 927 795 (3 455 672-4 399 919)
Albuterol3 781 380 (3 376 754-4 186 006)
Diclofenac3 752 475 (3 545 994 -3 958 956)

Abbreviations: ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification; SMR, skeletal muscle relaxant.

2016 excluded because of transition to International Classification of Diseases, Tenth Revision, Clinical Modification.

Among all new SMR office visits from 2005 to 2015.

Among all new SMR office visits from 2005 to 2016.

Abbreviations: ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification; SMR, skeletal muscle relaxant. 2016 excluded because of transition to International Classification of Diseases, Tenth Revision, Clinical Modification. Among all new SMR office visits from 2005 to 2015. Among all new SMR office visits from 2005 to 2016. Table 3 shows the number of office visits and age-standardized rates of SMR visits for 2005 and 2016 stratified by geographic region and by new vs continued SMR. In the Northeast, age-standardized new SMR visit rates changed by −33.4% (95% CI, −31.7% to −36.4%), whereas continued SMR visit rates increased by 325.1% (95% CI, 320.2% to 342.4%). We observed a similar pattern in the South, with a −15.8% (95% CI, −15.2% to −17.0%) change in new SMR visits accompanied by a 79.1% (95% CI, 68.8% to 82.2%) increase in continued SMR visits. In the Midwest, new and continued SMR visit rates increased by 26.9% (95% CI, 22.1% to 28.9%) and 297.6% (95% CI, 273.8% to 307.5%), respectively. We observed similar but less marked increases in new and continued SMR visit rates in the West, with increases of 5.4% (95% CI, 3.8% to 5.6%) and 91.6% (95% CI, 87.4% to 93.2%), respectively.
Table 3.

12-Year Change in SMR Utilization by Geographic Region, 2005-2016

Age group, yaNo. of office visitsAge-standardized rate per million populationb% Difference (95% CI)
2005201620052016
New SMR visits
Northeast806 072604 32614 8849917
<1859 485NR1142NR−33.4 (−31.7 to −36.4)
18-24142 000NR2866NR
25-44171 266112 42331562288
45-64410 995356 95673265690
≥6522 326134 9523931938
Midwest1 308 1901 755 48020 07325 466
<1856 558NR863NR26.9 (22.1 to 28.9)
18-24122 191111 32719281667
25-44310 611625 067484510 681
45-64729 940413 55211 0485642
≥6588 890605 53413907476
South3 100 3142 433 07922 99719 362
<18248 78468 8922314610–15.8 (−15.2 to −17.0)
18-24448 217315 01643912688
25-44984 557201 37992551872
45-64949 2781 159 13591819270
≥65469 478688 65645624922
West1 160 4691 385 41317 77318 728
<1822 919197 263.032127525.4 (3.8 to 5.6)
18-2471 311153 74510782042
25-44373 064396 16453005603
45-64537 379612 76184878020
≥65155 79625 4802587311
Overall US6 375 0456 178 29822 01718 855–14.4 (−12.3 to −15.1)
Continued SMR visits
Northeast1 324 8735 763 55923 768101 030
<18NRNRNRNR325.1 (320.2 to 342.4)
18-244466242 9379044 441
25-44339 2262 312 5506252168 064
45-64682 6942 191 92412 169141 183
≥65298 4871 016 1485258117 659
Midwest1 662 2787 086 85325 627101 891
<1813 41192 2652051461297.6 (273.8 to 307.5)
18-24577750 60091758
25-44787 6132 106 18412 28635 989
45-64659 8453 051 307998741 626
≥65195 6321 786 498305822 057
South3 641 5777 804 04834 74562 232
<18NRNRNRNR79.1 (68.8 to 82.2)
18-24432NR4NR
25-441 133 09211 341 54710 65110 544
45-641 770 1484 724 14717 12037 782
≥65717 8001 945 345697413 905
West1 822 1594 086 15928 18954 004
<1846 45740 39065056391.6 (87.4 to 93.2)
18-24NR64 101NR852
25-44513 580951 051729613 451
45-64879 4992 424 17613 89131 756
≥65382 623606 44263527411
Overall US8 450 88724 740 62029 14475 430158.8 (143.2 to 164.0)

Abbreviations: NR, not reported; SMR, skeletal muscle relaxant.

Regions defined by the US Census Bureau.

2005 US population used as the reference group for age standardization.

Abbreviations: NR, not reported; SMR, skeletal muscle relaxant. Regions defined by the US Census Bureau. 2005 US population used as the reference group for age standardization.

Discussion

This analysis of nationally representative office visit data found that SMR use doubled from 2005 to 2016 and that there was a disproportionately high use of these drugs in older adults, a population in which SMR use is potentially inappropriate. These increasing rates did not appear to have an association with the decline in opioid prescribing that began in 2012 in both the general ambulatory care population and in the older adult population.[13] Furthermore, among visits with a continuing SMR, 67.2% of patients were concomitantly treated with an opioid—a combination that has the potential to cause serious drug-drug interactions, such as potentiated central nervous system depression and an increased risk of opioid overdose.[9] As expected, among new users of SMRs, we found that the most common diagnoses were related to back pain and other musculoskeletal conditions. Interestingly, although the frequency of new initiation of SMR therapy remained stable, the number of office visits in which SMR therapy was continued tripled, indicating a potential shift in duration of use of these drugs. This trend is a concern given the limited evidence of long-term efficacy and the risk of serious central nervous system adverse effects and drug-drug interactions. Although prior papers have examined the use of SMRs in veterans[4] and older adults,[14,15] the present study is, to our knowledge, the first study since 2004[5,16] to examine SMR use in the general population. The strengths of this study stem from the design of the NAMCS that permits us to make projections to US physician office visits.

Limitations

This study has some limitations. The NAMCS does not capture patients leaving the hospital with an SMR prescription or allow researchers to follow patients over time or assess clinical outcomes. In addition, these data are limited to the United States, and we are unaware of recent analogous data from other countries.

Conclusions

Given their prominent adverse effects and the limited evidence for their long-term efficacy, growth in the continued use of SMRs, particularly in older adults and concomitantly with opioids, is concerning. Given the findings of this cross-sectional study, efforts to limit the long-term use of SMRs may be needed, especially for older adults, similar to efforts used to limit the long-term use of opioids[17] and benzodiazepines.[18]
  15 in total

1.  Re: Tulder MW, Touray T, Furlan AD, et al. Muscle relaxants for non-specific low back pain: a systematic review within the framework of the Cochrane collaboration. Spine 2003;28:1978-92.

Authors:  Claus Manniche; Alan Jordan
Journal:  Spine (Phila Pa 1976)       Date:  2004-11-01       Impact factor: 3.468

2.  Injuries in Adults 65 Years of Age and Older Prescribed Muscle Relaxants.

Authors:  Melissa M Derner; Courtney A Linhart; LeeAnna M Pederson; Sarith M Saju; Alyssa M Heiden; Lisa A Wohlford; Michael T Swanoski; M Nawal Lutfiyya
Journal:  Consult Pharm       Date:  2016-09

3.  Considerations for the appropriate use of skeletal muscle relaxants for the management of acute low back pain.

Authors:  Corey Witenko; Robin Moorman-Li; Carol Motycka; Kevin Duane; Juan Hincapie-Castillo; Paul Leonard; Christopher Valaer
Journal:  P T       Date:  2014-06

4.  Risk of Opioid Overdose Associated With Concomitant Use of Opioids and Skeletal Muscle Relaxants: A Population-Based Cohort Study.

Authors:  Yan Li; Chris Delcher; Yu-Jung Jenny Wei; Gary M Reisfield; Joshua D Brown; Patrick Tighe; Almut G Winterstein
Journal:  Clin Pharmacol Ther       Date:  2020-03-17       Impact factor: 6.875

5.  American Geriatrics Society 2019 Updated AGS Beers Criteria® for Potentially Inappropriate Medication Use in Older Adults.

Authors: 
Journal:  J Am Geriatr Soc       Date:  2019-01-29       Impact factor: 5.562

6.  New Data on Opioid Use and Prescribing in the United States.

Authors:  Anne Schuchat; Debra Houry; Gery P Guy
Journal:  JAMA       Date:  2017-08-01       Impact factor: 56.272

7.  Risk for fractures with centrally acting muscle relaxants: an analysis of a national Medicare Advantage claims database.

Authors:  Adam G Golden; Qianli Ma; Vinit Nair; Hermes J Florez; Bernard A Roos
Journal:  Ann Pharmacother       Date:  2010-07-06       Impact factor: 3.154

8.  Skeletal muscle relaxant use in the United States: data from the Third National Health and Nutrition Examination Survey (NHANES III).

Authors:  Charles Dillon; Ryne Paulose-Ram; Rosemarie Hirsch; Qiuping Gu
Journal:  Spine (Phila Pa 1976)       Date:  2004-04-15       Impact factor: 3.468

Review 9.  Carisoprodol: abuse potential and withdrawal syndrome.

Authors:  Roy R Reeves; Randy S Burke
Journal:  Curr Drug Abuse Rev       Date:  2010-03

Review 10.  Withdrawing benzodiazepines in primary care.

Authors:  Malcolm Lader; Andre Tylee; John Donoghue
Journal:  CNS Drugs       Date:  2009       Impact factor: 5.749

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  8 in total

1.  Skeletal muscle relaxant drug-drug-drug interactions and unintentional traumatic injury: Screening to detect three-way drug interaction signals.

Authors:  Cheng Chen; Sean Hennessy; Colleen M Brensinger; Ghadeer K Dawwas; Emily K Acton; Warren B Bilker; Sophie P Chung; Sascha Dublin; John R Horn; Todd A Miano; Thanh Phuong Pham Nguyen; Samantha E Soprano; Charles E Leonard
Journal:  Br J Clin Pharmacol       Date:  2022-06-01       Impact factor: 3.716

2.  Signals of Muscle Relaxant Drug Interactions Associated with Unintentional Traumatic Injury: A Population-Based Screening Study.

Authors:  Ghadeer K Dawwas; Sean Hennessy; Colleen M Brensinger; Emily K Acton; Warren B Bilker; Sophie Chung; Sascha Dublin; John R Horn; Melanie M Manis; Todd A Miano; David W Oslin; Thanh Phuong Pham Nguyen; Samantha E Soprano; Douglas J Wiebe; Charles E Leonard
Journal:  CNS Drugs       Date:  2022-03-06       Impact factor: 6.497

3.  Screening to identify signals of opioid drug interactions leading to unintentional traumatic injury.

Authors:  Charles E Leonard; Colleen M Brensinger; Thanh Phuong Pham Nguyen; John R Horn; Sophie Chung; Warren B Bilker; Sascha Dublin; Samantha E Soprano; Ghadeer K Dawwas; David W Oslin; Douglas J Wiebe; Sean Hennessy
Journal:  Biomed Pharmacother       Date:  2020-07-30       Impact factor: 6.529

4.  Population-Based Signals of Antidepressant Drug Interactions Associated With Unintentional Traumatic Injury.

Authors:  Charles E Leonard; Colleen M Brensinger; Emily K Acton; Todd A Miano; Ghadeer K Dawwas; John R Horn; Sophie Chung; Warren B Bilker; Sascha Dublin; Samantha E Soprano; Thanh Phuong Pham Nguyen; Melanie M Manis; David W Oslin; Douglas J Wiebe; Sean Hennessy
Journal:  Clin Pharmacol Ther       Date:  2021-03-14       Impact factor: 6.903

5.  Potential benefits of gallic acid as skeletal muscle relaxant in animal experimental models.

Authors:  Syed Mohammed Basheeruddin Asdaq; Abdulhakeem S Alamri; Walaa F Alsanie; Majid Alhomrani; Farhana Yasmin
Journal:  Saudi J Biol Sci       Date:  2021-10-01       Impact factor: 4.219

Review 6.  Subacromial Impingement Syndrome: A Systematic Review of Existing Treatment Modalities to Newer Proprioceptive-Based Strategies.

Authors:  Harman Singh; Aaronvir Thind; Nequesha S Mohamed
Journal:  Cureus       Date:  2022-08-25

7.  Efficacy, acceptability, and safety of muscle relaxants for adults with non-specific low back pain: systematic review and meta-analysis.

Authors:  Aidan G Cashin; Thiago Folly; Matthew K Bagg; Michael A Wewege; Matthew D Jones; Michael C Ferraro; Hayley B Leake; Rodrigo R N Rizzo; Siobhan M Schabrun; Sylvia M Gustin; Richard Day; Christopher M Williams; James H McAuley
Journal:  BMJ       Date:  2021-07-07

8.  Muscle relaxant use and the associated risk of incident frailty in patients with diabetic kidney disease: a longitudinal cohort study.

Authors:  Szu-Ying Lee; Jui Wang; Hung-Bin Tsai; Chia-Ter Chao; Kuo-Liong Chien; Jenq-Wen Huang
Journal:  Ther Adv Drug Saf       Date:  2021-06-11
  8 in total

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