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. Author manuscript; available in PMC: 2021 Sep 1.
Published in final edited form as: Am J Prev Med. 2021 May 19;61(3):418–427. doi: 10.1016/j.amepre.2021.02.026

Association Between Buprenorphine for Opioid Use Disorder and Mortality Risk

Priyanka Vakkalanka 1,2, Brian C Lund 1,3, Stephan Arndt 4,5, William Field 6, Mary Charlton 1, Marcia M Ward 7, Ryan M Carnahan 1
PMCID: PMC8384722  NIHMSID: NIHMS1727366  PMID: 34023160

Abstract

Introduction:

Veterans with opioid use disorder have an increased risk of suicide and overdose compared with the general population. Buprenorphine, a U.S. Food and Drug Administration–approved medication to treat opioid use disorder, has shown benefits, including decreased risk of illicit drug use and overdose. This study assesses the mortality outcomes with buprenorphine pharmacotherapy among Veterans up to 5 years from treatment initiation.

Methods:

This was a retrospective cohort study of Veterans receiving buprenorphine (2008–2017) across any Veterans Health Administration facility. Buprenorphine pharmacotherapy was evaluated as a time-varying covariate. The primary outcome was death up to 5 years from treatment initiation by suicide and overdose combined; secondary outcomes included suicide, overdose, opioid-specific overdose, and all-cause death. Secondary analyses included evaluating the risk of mortality in recent discontinuation and effect modification by select characteristics. All analyses were conducted in 2020.

Results:

Veterans who were not receiving buprenorphine were 4.33 (adjusted hazard ratio; 95% CI=3.60, 5.21) times more likely to die by suicide/overdose than those receiving buprenorphine pharmacotherapy on any given day, with similar protective associations with treatment across secondary outcomes. The risk of suicide/overdose was highest 8–14 days from treatment discontinuation (adjusted hazard ratio=6.54, 95% CI=4.32, 9.91) than in currently receiving buprenorphine pharmacotherapy. There was no evidence of effect modification by the selected covariates.

Conclusions:

Mortality risk was greater among Veterans who were not receiving buprenorphine pharmacotherapy than among those who were. Providers should consider whether buprenorphine pharmacotherapy, either intermittent or continuous, may provide health benefits for their patients and prevent mortality.

INTRODUCTION

Opioid use disorder (OUD) is a significant public health burden in the U.S., with nearly 500,000 people dying from an overdose involving opioids between 1999 and 2018.1 Veterans, in particular, have an increased risk of OUD,24 with previous work showing that the diagnosis of OUD within the Veterans Health Administration (VHA) was nearly 7 times greater than that within commercial health plans.5

Contributing factors that increase the risk of OUD within the Veteran population include higher rates of chronic pain, sleep issues, concurrent mental health issues such as depression or post-traumatic stress disorder, and the use of other substances such as alcohol or sedatives.68 Rurality is a risk factor pertaining to harmful outcomes of OUD9,10: nearly 25% of Veterans live in rural areas where a shortage of mental health providers and access to timely care are barriers.11,12 Veterans also have an increased risk of opioid-related adverse events such as overdose and death2,13 and suicide compared with non-Veteran civilians.14,15 Several of these risk factors for addiction or dependence are also factors that qualify someone for using VHA services.16

When considering the long-term health outcomes of Veterans with OUD, it is essential to weigh the role of clinical management in the VHA with pharmacotherapies that may mitigate the risk. Medication for OUD (MOUD) is an effective treatment for those with OUD and may be combined with counseling or therapy for those who need it.17 Three current pharmacotherapies approved by the U.S. Food and Drug Administration include methadone (an agonist), buprenorphine (a partial agonist), and naltrexone (an antagonist).18 Retention on MOUD, a marker of successful treatment, has psychosocial and health benefits.19,20 The extent to which long-term treatment (whether intermittent or continuous), recent discontinuation trends, and treatment impact the risk across specific demographics within the Veteran population needs further exploration. Because OUD is a risk factor for suicide and overdose,14 it is critical to examine the relationship between the status of buprenorphine pharmacotherapies and long-term health outcomes, including mortality.

The objective of this study is to evaluate the association between buprenorphine pharmacotherapy and suicide, overdose, and all-cause mortality among Veterans initiating buprenorphine pharmacotherapy within the VHA. Because recent discontinuation of buprenorphine pharmacotherapy may be associated with adverse outcomes,21 the secondary objective is to assess whether the risk of mortality is greater with a recent discontinuation or gap in buprenorphine pharmacotherapy.

METHODS

Study Sample

This was a retrospective cohort study of adult Veterans (aged ≥18 years) diagnosed with OUD and treated with buprenorphine or buprenorphine/naloxone within the VHA system between January 1, 2008 and December 31, 2017. The study sample was restricted to those who received a prescription for a sublingual, short-acting buprenorphine product with a diagnosis code for OUD in the previous 6 months using the International Classification of Diseases, Ninth Revision, Clinical Modification and ICD-10-CM. Incident prescription of buprenorphine was determined as the first outpatient pharmacy prescription dispensed within the VHA. Veterans who received these medications between 2006 and 2008 were excluded. Exclusion criteria included those receiving buprenorphine patches because these suggest pain management22 and those with metastatic tumor diagnosis (because this may influence subsequent medications, the continuation of buprenorphine pharmacotherapy, and mortality) within 2 years before buprenorphine initiation. This study was approved by the local IRB and Veterans Administration Research and Development Committee, and the manuscript is reported in accordance with the STROBE statement.23

Measures

The incident buprenorphine date for each Veteran was determined from the first oral outpatient buprenorphine prescription filled between January 1, 2008 and December 31, 2017. Buprenorphine pharmacotherapy continuity was evaluated by the longitudinal pattern of dispensed buprenorphine prescriptions; for each prescription dispensed, an episode of buprenorphine pharmacotherapy was generated by assessing the supply days from the day the prescription was filled through the number of supply days. Potential oversupply was accounted for when the prescription was filled before the expected supply exhaustion. Days receiving buprenorphine pharmacotherapy (exposed) were measured as days that buprenorphine was available to the Veteran, whereas days not receiving buprenorphine pharmacotherapy (unexposed) were evaluated as days where there was no buprenorphine supply available. The peak dose or highest dose of buprenorphine within the first 14 days of pharmacotherapy initiation was assessed as a marker of severity and converted to milligram morphine equivalents.24

Other MOUDs (naltrexone, methadone) utilized during follow-up were assessed to distinguish between (1) Veterans without any current MOUD and (2) Veterans without buprenorphine MOUD pharmacotherapy. Days receiving pharmacotherapy were assessed similarly from the prescription fill day through the exhaustion of the supply. For extended-release naltrexone, the days’ supply within the VHA pharmacy indicated 30 days per dose. Buprenorphine pharmacotherapy status on any given day was characterized while accounting for periods on naltrexone or methadone (1) up to death, (2) up to the end of the study period (December 31, 2017), or (3) up to 5 years from buprenorphine pharmacotherapy initiation.

To account for temporal trends in buprenorphine availability and access, pharmacotherapy initiation year was categorized in 2-year intervals. Sociodemographic factors assessed at baseline included age, sex, and potential homelessness (identified using previous methodologies).25,26 Geographic measures included driving distance and time to nearest primary/secondary care centers, and urban/rural designation status was determined by ZIP codes and 2010 Rural–Urban Commuting Area codes.27 A combination of primary and secondary codes was used to assign a rural designation as isolated rural, small rural, and large rural areas. Urban designation included urban tracts and those for which ≥30% commuted to a nearby metropolitan, micropolitan, or small-town core.27

Comorbidities diagnosed up to 2 years before buprenorphine initiation were identified from the International Classification of Diseases, Ninth Revision and ICD-10 inpatient and outpatient diagnosis codes. These conditions were classified using Quan’s algorithms and the Clinical Classifications Software Level 2 coding schema for mental health diagnoses from the Healthcare Cost and Utilization Project.28 Past-year psychiatric medications were identified from pharmacy files. Healthcare utilization was measured from inpatient (classified as any, mental health, suicide/self-harm, substance use), outpatient, urgent-care, and emergency department utilization from VHA stop codes up to 2 years before buprenorphine initiation.29

The primary outcome in this study was a combined outcome of death by suicide and overdose because the determination of suicide requires that the death be established as both self-inflicted and intentional, and this may be unclear in overdose.30 Secondary outcomes included suicide death, any overdose death, opioid-specific overdose death, and all-cause mortality. Data were obtained from the Suicide Data Repository, developed as a collaborative effort to include demographic and personnel data from the Joint Department of Veterans Affairs–Department of Defense and the National Death Index from the Centers for Disease Control and Prevention.31 Cause-specific death was determined by ICD-10 codes identified on death certificate data from the National Death Index (Appendix Methods 1, available online).

Statistical Analysis

Buprenorphine pharmacotherapy status was evaluated until death, with censoring occurring at the end of the study period (December 31, 2017) or at the end of maximum follow-up period of 5 years. Pharmacotherapy status was measured as a time-varying covariate to account for days Veterans received buprenorphine pharmacotherapy and days they did not receive it over time. In the first 30 days of the last known treatment, days were further classified as discontinuation/gaps within ≤7 days (first week), 8–14 days (second week), 15–30 days (third and fourth week), and >30 days.

The association between each demographic and clinical covariate and mortality was modeled through Cox proportional hazards regression. Variables identified as associated with the outcome (with a threshold of p<0.20) were considered in developing the final model. Final multivariable models were built through the inclusion of pertinent variables and evaluation of Akaike information criterion values. Analyses were conducted in 2020 using SAS, version 9.4.

Potential multiplicative effect modification of buprenorphine pharmacotherapy and outcome associations by key demographic variables (sex, race, rural–urban categorization, and maximum buprenorphine dose in the first 2 weeks) was evaluated by fitting the models with an interaction term of buprenorphine pharmacotherapy status across each variable stratum.

A total of 4 sensitivity analyses of the main outcome (suicide/overdose up to 5 years) were performed. First, the impact of duration of follow-up time on mortality was assessed to account for the potential change in the susceptible population over time.32 Second, because new users of VHA care would have incomplete comorbidity data, those at or below the 10th percentile of outpatient visits in the 2-year baseline period were excluded. Third, those who had <30 days of cumulative buprenorphine pharmacotherapy were excluded as a proxy for those who might receive care outside the VHA system. Finally, the potential for unmeasured confounding and bias was evaluated using E-values, the minimum strength of association that an unmeasured confounder would need to fully explain away the observed association, conditioned on covariates that are measured.33,34

RESULTS

There were 29,054 Veterans in the final study sample (Figure 1), among whom, 92.9% were male, 81.2% were white, and 90.6% were aged 25–64 years at the time of their initial buprenorphine prescription within the VHA (Table 1). Psychiatric comorbidities were prevalent in this population, with 73.2% of Veterans diagnosed with depression, 60.7% diagnosed with anxiety disorders, and >50% diagnosed with documentation of ≥1 other substance dependence.

Figure 1.

Figure 1.

Flow chart of the study sample: Veterans treated for opioid use disorder with buprenorphine pharmacotherapy in the Veterans Health Administration, 2082–17.

BUP, buprenorphine; Dx, diagnosis; OUD, opioid use disorder; Rx, prescription.

Table 1.

Baseline Characteristics of Veterans Treated for OUD With Buprenorphine Pharmacotherapy and Associations With Suicide/Overdose Deaths in the VHA, 2008–2017

Demographic, geographic, and clinical measures Total (N=29,054) % Suicide/overdose, UHR (95% CI)
Sex
 Female 2,060 7.1 ref
 Male 26,994 92.9 1.39 (1.04, 1.87)
Age, years
 18–24 1,125 3.9 1.70 (1.09, 2.66)
 25–44 14,134 48.6 1.37 (0.94, 2.01)
 45–64 12,209 42.0 1.12 (0.76, 1.65)
 ≥65 1,586 5.5 ref
Race
 White 23,603 81.2 ref
 Black 3,621 12.5 0.60 (0.47, 0.75)
 Other 670 2.3 0.74 (0.46, 1.20)
 Unknown/missing 1,160 4.0 1.08 (0.79, 1.47)
Ethnicity
 Hispanic 1,600 5.5 ref
 Non-Hispanic 26,670 91.8 1.49 (1.04, 2.08)
 Unknown/missing 784 2.7 1.78 (1.10, 2.89)
Indication for homelessness/unstable housing
 No 20,666 71.1 ref
 Yes 8,388 28.9 1.76 (1.55, 2.00)
Residential designation
 Urban 25,516 87.8 ref
 Rural 3,275 11.3 0.76 (0.61, 0.95)
 Unknown/missing 263 0.9 2.61 (1.71, 3.99)
Distance to the closest primary care facility
 0–19 miles 22,565 77.7 ref
 ≥20 miles 6,419 22.1 0.86 (0.73, 1.00)
 Unknown/missing 70 0.2 19.63 (12.29, 31.37)
Distance to the closest secondary care facility
 0–19 miles 12,529 43.1 ref
 ≥20 miles 16,423 56.5 0.85 (0.75, 0.96)
 Unknown/missing 102 0.4 9.25 (5.85, 14.65)
Drive time to the closest primary care facility
 0–29 minutes 23,889 82.2 ref
 ≥30 minutes 5,095 17.5 0.79 (0.66, 0.95)
 Unknown/missing 70 0.2 19.54 (12.23, 31.21)
Drive time to the closest secondary care facility
 0–29 minutes 14,032 48.3 ref
 ≥30 minutes 14,920 51.4 0.85 (0.75, 0.97)
 Unknown/missing 102 0.4 9.36 (5.92, 14.80)
Treatment initiation era
 2008–2009 4,008 13.8 ref
 2010–2011 5,347 18.4 1.11 (0.90, 1.36)
 2012–2013 5,952 20.5 1.34 (1.10, 1.64)
 2014–2015 6,433 22.1 1.75 (1.41, 2.16)
 2016–2017 7,314 25.2 1.91 (1.44, 2.54)
Clinical characteristics (ref=No)
 Comorbidities
  AIDS/HIV 277 1.0 1.30 (0.74, 2.30)
  Cardiac arrhythmia 2,110 7.3 0.98 (0.76, 1.27)
  Chronic Obstructive Pulmonary Disease 3,955 13.6 1.18 (0.99, 1.41)
  Congestive heart failure 646 2.2 1.29 (0.85, 1.95)
  Diabetes (with complications) 933 3.2 1.36 (0.95, 1.94)
  Diabetes (without complications) 2,608 9.0 1.08 (0.86, 1.35)
  Hypertension (without complications) 9,419 32.4 1.08 (0.94, 1.23)
  Hypertension (with complications) 480 1.7 1.62 (0.97, 2.70)
  Liver disease 4,492 15.5 1.35 (1.14, 1.59)
  Malignancy 804 2.8 0.86 (0.56, 1.33)
  Myocardial infarction 308 1.1 0.77 (0.37, 1.63)
  Nonmetastatic cancer 707 2.4 0.84 (0.53, 1.35)
  Obesity 3,374 11.6 1.14 (0.94, 1.37)
  Peripheral vascular disease 710 2.4 1.47 (1.02, 2.13)
  Renal disease 564 1.9 1.20 (0.75, 1.91)
  Weight loss 1,042 3.6 0.82 (0.56, 1.21)
 Psychiatric comorbidities
  Attention deficit hyperactivity disorder 1,659 5.7 1.41 (1.11, 1.81)
  Adjustment 4,427 15.2 1.26 (1.07, 1.48)
  Anxiety disorder 17,636 60.7 1.47 (1.28, 1.68)
  Bipolar disorder 5,352 18.4 1.51 (1.31, 1.75)
  Depression 21,258 73.2 1.55 (1.33, 1.82)
  Personality disorder 2,319 8.0 1.49 (1.22, 1.81)
  Post-traumatic stress disorder 11,516 39.6 1.32 (1.16, 1.50)
  Schizophrenia 1,735 6.0 1.34 (1.06, 1.70)
 Other substance use dependence
  Alcohol 10,574 36.4 1.50 (1.32, 1.71)
  Stimulants 6,159 21.2 1.27 (1.09, 1.47)
  Cannabis 3,746 12.9 1.14 (0.94, 1.37)
  Cocaine 5,564 19.2 1.50 (1.30, 1.73)
  Hallucinogen 123 0.4 1.71 (0.81, 3.60)
  Nicotine 15,046 51.8 1.28 (1.13, 1.45)
  Sedative 2,619 9.0 1.70 (1.42, 2.05)
 Recent medication use
  Antidepressants 18,874 65.0 1.41 (1.23, 1.62)
  Antipsychotics 6,632 22.8 1.62 (1.41, 1.85)
  Anxiolytics 9,820 33.8 1.29 (1.14, 1.47)
  Mood stabilizers 10,135 34.9 1.57 (1.38, 1.78)
  Opioids 11,050 38.0 1.05 (0.93, 1.20)
  Stimulants 1,014 3.5 1.45 (1.08, 1.96)
 Healthcare utilization
  Inpatient admission
   Any reason 13,331 45.9 1.71 (1.50, 1.94)
   Mental health 12,587 43.3 1.71 (1.50, 1.94)
   Suicide or self harm 2,938 10.1 1.59 (1.33, 1.90)
   Substance use 11,599 39.9 1.70 (1.50, 1.93)
  Urgent care use 4,400 15.1 1.45 (1.25, 1.70)
  Emergency department use
   Suicide or self harm 2,266 7.8 1.58 (1.29, 1.94)
   Substance use 8,359 28.8 1.44 (1.26, 1.64)

OUD, opioid use disorder; UHR, unadjusted hazard ratio; VHA, Veterans Health Administration.

There were 15.1 million person-days of buprenorphine treatment from initiation up to 5 years. Approximately 3.1% (n=892) of Veterans had ≥1 methadone prescription (258,355 person-days, 0.7% of follow-up time) (Appendix Table 1, available online). Similarly, 7.4% (n=2,137) of Veterans had ≥1 naltrexone prescription (177,339 person-days, 0.5% of follow-up time).

Over the 5 years of follow-up from the initial buprenorphine prescription, 3.3% of the cohort died of suicide/overdose, and 7.8% died of any cause. Among the suicide/overdose deaths, the majority (89.9%) were due to overdose, and 71.0% of the overdose deaths involved a prescription or illicit opiate. Male sex and younger age were associated with an increased risk of suicide/overdose (Table 1), although younger age was associated with a lower risk of all-cause mortality (Appendix Table 2, available online).

In the final adjusted model, the risk of suicide/overdose death was 4.33 (95% CI=3.60, 5.21) times greater among those who were not receiving buprenorphine pharmacotherapy than among those who were receiving it on any given day, even when accounting for any periods where they received methadone or naltrexone (Table 2). There was some suggestion of elevated risk in earlier weeks from last known buprenorphine pharmacotherapy; the risk of suicide/overdose was highest 8–14 days from treatment discontinuation (adjusted hazard ratio [AHR]=6.54, 95% CI=4.32, 9.91) than for currently receiving buprenorphine.

Table 2.

Association Between Buprenorphine Pharmacotherapy Receipt and Suicide/Overdose With up to 5 Years of Follow-Up From Treatment Initiation Among Veterans in the VHA, 2008–2017 (N=29,054)

Buprenorphine pharmacotherapy status Person-days at risk n, deaths IR UHR (95% CI) AHR (95% CI)a
Treated 15,094,978 142 0.94 ref ref
Not treated, overall 20,191,645 822 4.07 4.61 (3.84, 5.54) 4.33 (3.60, 5.21)
Treated 15,094,978 142 0.94 ref ref
Not treated, stratified
 ≤7 days since the last treatment 543,673 28 5.15 5.13 (3.40, 7.75) 4.56 (3.01, 6.90)
 8–14 days since the last treatment 388,091 28 7.21 7.47 (4.95, 11.28) 6.54 (4.32, 9.91)
 15–30 days since the last treatment 708,080 26 3.67 3.95 (2.59, 6.04) 3.45 (2.25, 5.29)
 >30 days since the last treatment 18,551,801 740 3.99 4.51 (3.74, 5.43) 4.29 (3.55, 5.17)

Note: Boldface indicates statistical significance (p<0.05). Suicide/overdose indicates suicide/overdose deaths (n=964). IR indicates deaths per 100,000 person-days.

a

Adjusted for demographics (age, sex, race, rural, homelessness, year initiating buprenorphine), clinical comorbidities (depression, peripheral vascular disease, liver disease), concurrent substance dependence (alcohol, cannabis), medications (antipsychotics, mood stabilizers), other MOUD (naltrexone, methadone), and healthcare utilization (overdose in ED, inpatient admission for substance use or dependence).

AHR, adjusted hazard ratio; ED, emergency department; IR, incidence rate MOUD, medications for opioid use disorder; UHR, unadjusted hazard ratio; VHA, Veterans Health Administration.

Consistent with the primary outcome, mortality risk was greater for those not receiving buprenorphine than for those receiving this medication, including suicide death (AHR=3.57, 95% CI=2.25, 5.66), overdose death (AHR=4.58, 95% CI=3.75, 5.59), opioid-related death (AHR=4.59, 95% CI=3.62, 5.80), and all-cause mortality (AHR=3.82, 95% CI=3.41, 4.28) (Appendix Table 3, available online).

There was no evidence of multiplicative effect modification by sex (p=0.75), age (p=0.98), race (p=0.08), rurality (p=0.84), or peak dose (p=0.29) (Appendix Figure 1, available online).

Mortality risk was highest with follow-up to 1 year, with slight attenuation as follow-up time increased to 5 years (Appendix Tables 47, available online, and Appendix Figure 2, available online). There was a slight attenuation of hazard ratios when excluding those with limited VHA contact before buprenorphine initiation and those with ≤30 days of cumulative buprenorphine pharmacotherapy (Table 3 and Appendix Table 8, available online). The evaluation of E-values and CIs showed that a significant amount of unmeasured confounding would have been needed to explain away the observed associations.

Table 3.

Comparison of Results Between Main and Sensitivity Analyses for the Association Between Buprenorphine Pharmacotherapy Receipt and Suicide/Overdose, With up to 5 Years of Follow-Up From Buprenorphine Pharmacotherapy Initiation Among Veterans Treated in the VHA, 2008–2017

Outcome Main analysis,a N=29,054 SA 1: excluding low utilizers,b n=26,404 SA 2: excluding infrequent buprenorphine utilizers,c n=24,405 SA 3: E-valuesd
AHR (95% CI) AHR (95% CI) AHR (95% CI) E-value/CI
Suicide/overdose deaths n=964 n=899 n=731
Buprenorphine pharmacotherapy status
 Treated ref ref ref ref
 Not treated overall 4.33 (3.60, 5.21) 4.15 (3.44, 5.02) 3.92 (3.23, 4.76) 8.15/6.66
 Treated ref ref ref ref
 Not treated stratified
 ≤7 days since last treatment 4.56 (3.01, 6.90) 4.23 (2.75, 6.50) 4.16 (2.53, 6.83) 8.59/5.47
 8–14 days since the last treatment 6.54 (4.32, 9.91) 6.30 (4.12, 9.63) 6.67 (4.18, 10.62) 12.56/8.11
 15–30 days since the last treatment 3.45 (2.25, 5.29) 3.19 (2.05, 4.98) 3.27 (2.01, 5.32) 6.36/3.93
 >30 days since last treatment 4.29 (3.55, 5.17) 4.12 (3.40, 5.00) 3.87 (3.18, 4.71) 8.05/6.56

Note: Boldface indicates statistical significance (p<0.05).

a

Main analysis: represents the results from the final models for each suicide/overdose outcome over 5 years of follow-up, as seen in Table 2.

b

SA 1: represents the results from excluding Veterans who had ≤14 outpatient encounters within the VHA system in the 2 years preceding the initial buprenorphine prescription. The purpose of this analysis was to assess whether there was potential unmeasured confounding from those who might not have had the opportunity to have comorbidities documented to the same extent as routine VHA users.

c

SA 2: represents the results from excluding Veterans who had a total of ≤30 days on buprenorphine treatment over 5 years of follow-up from the initial buprenorphine prescription. The purpose of this analysis was to account for potential misclassification of exposure, specifically among those who might have received treatment outside of the VHA but have been documented as not being on treatment in the main analysis.

d

SA 3: represents an assessment of unmeasured confounding and bias by evaluating the E-values, the minimum strength of association that an unmeasured confounder would need to fully explain away the observed association, conditioned on covariates that are measured. For example, for the primary suicide/overdose composite outcome over 5 years of follow-up, the observed HR of 4.33 could be explained away by an unmeasured confounder that was associated with both the treatment and the outcome by an HR of 8.15-fold each, above and beyond the measured confounders, but weaker confounding could not do so. The CI could be moved to include the null by an unmeasured confounder that was associated with both the treatment and the outcome by an HR of 6.66 folds each, above and beyond the measured confounders, but weaker confounding could not do so. AHR, adjusted hazard ratio; HR, hazard ratio; SA, sensitivity analysis; VHA, Veterans Health Administration.

DISCUSSION

A national cohort of nearly 30,000 Veterans who initiated buprenorphine pharmacotherapy for OUD was examined for the association between their medication course up to 5 years after buprenorphine initiation and mortality. One key finding in this study is further evidence that buprenorphine pharmacotherapy is lifesaving: Veterans who were not receiving buprenorphine pharmacotherapy on any given day had a >4-fold increase in suicide/overdose death compared with those who were receiving buprenorphine pharmacotherapy, even when accounting for time periods on other MOUDs. These findings are consistent with those of previous studies in smaller or regionalized populations with reduced all-cause, overdose, or opioid-related deaths.3538 However, these estimates of overdose and all-cause mortality were elevated compared with the estimates of a 2017 meta-analysis that found a pooled incidence rate 3.3 times greater for those not receiving buprenorphine pharmacotherapy than for those who were receiving this pharmacotherapy.35 Differences in findings may be due to variable population characteristics, eligibility for benefits within the VHA, or study era.

Although not significantly different, mortality risk appeared highest in earlier periods after the last known buprenorphine pharmacotherapy. The estimates for suicide/overdose mortality showed a slight elevation during the second week (Days 8–14) of discontinuation or exhaustion of supply compared with those in the first week. One study examining the receipt of buprenorphine and overdose in a large-scale commercially insured population found no difference in the rate of overdose within the first 4 weeks of buprenorphine discontinuation,39 whereas others reported a higher risk for overdose mortality out of treatment.38,40

Despite the elevated estimates in the risk of mortality in the earlier periods after lapses in pharmacotherapy, there may be several reasons why these were not significantly different from those in later time periods. It is important to clarify that it is not known whether the absence of pharmacotherapy was due to a true discontinuation or an exhaustion of supply for any reason. A subset of Veterans may have also been hospitalized, incarcerated, or in another similar situation where they did not have the opportunity to refill their prescriptions. However, within the first week of a discontinuation/gap, approximately 35% of Veterans reinitiated buprenorphine pharmacotherapy, suggesting that they had been less than fully adherent or had exhausted their supply but intended to remain on buprenorphine therapy. Another explanation for the absence of significant findings in this earlier timeframe may be the persistent impact of buprenorphine after recent discontinuation; the relatively long half-life of buprenorphine (24–37 hours) after sublingual administration may sustain its protective effect through part of the first week after discontinuation.41 Finally, because this study relied on administrative data for prescriptions, an oversupply of medication may have lasted beyond the calculated end of buprenorphine pharmacotherapy such that the actual discontinuation was later than the apparent discontinuation date.

Previous findings from the Centers for Disease Control and Prevention and from other researchers have shown variations in pharmacotherapy initiation and retention with buprenorphine or overdose mortality by socioeconomic, demographic, and geographic characteristics.15,26,42 This study evaluated the potential effect modification, and 2 important themes found warrant further research. First, although there may be variability in access to providers or medications, pharmacotherapy initiation, or overall differences in sample characteristics for suicide or overdose-related mortality, the findings in this study suggest that the association between the receipt of buprenorphine pharmacotherapy and mortality does not vary across these specific variables. These findings should be approached with some caution; despite the large sample size overall, there were smaller subgroups of female, non-White, and rural Veterans, leading to less precision. The second theme was that although rurality independently sustained a protective effect against mortality, it did not modify the relationship between buprenorphine pharmacotherapy receipt and mortality. Although previous research has shown rurality to be a risk factor for mortality, this study now raises the following question: are there improved health outcomes for rural Veterans provided they initiated buprenorphine pharmacotherapy for OUD? In recent years, the VHA has expanded measures to advance health outcomes for rural Veterans to overcome barriers such as distance and access to specialized care.4347 Perhaps, increased services and capabilities such as the adoption of telehealth networks and the flexibility to incorporate non-VHA providers into coordinated care to mitigate such barriers have improved the long-term health outcomes for Veterans. Future studies should examine the mechanisms by which these efforts influence OUD management for rural Veterans treated within the system and also should examine the potential gaps in programs through regions or Veteran cohorts who do not seek treatment within the VHA.

Limitations

There are several limitations to this study. First, Veterans may have received pharmacotherapies outside of the VHA, although there was only a slight attenuation of mortality risk when a subset of Veterans who had <30 days of buprenorphine pharmacotherapy was excluded. Administrative data were used for buprenorphine pharmacotherapy status, which could have led to potential errors in characterizing the availability of treatment on any given day. The use of these data may have also resulted in unmeasured confounding or bias beyond what was captured within this study. The evaluation of E-values showed that there would have needed to be a high degree (>6-fold) of unmeasured confounding to explain away the observed association. Finally, suicide and overdose classification were determined from death certificates, which may under-report true estimates; nonetheless, this standard is used as a valid source for epidemiologic studies for mortality.48,49

There were several strengths to this study, including identifying Veterans who used buprenorphine within the VHA over a 10-year window and the construction of pharmacotherapy episodes to account for medication status on any given day for each Veteran during follow-up. Finally, data were obtained from the National Death Index, a part of the Joint Department of Veteran Affairs and Department of Defense Suicide Data Repository, leading to higher accuracy of all-cause mortality.

CONCLUSIONS

The risk of overdose/suicide was substantially greater among Veterans who were not receiving buprenorphine than among those who were receiving buprenorphine pharmacotherapy on any given day within a cohort of incident buprenorphine users within the VHA, even after accounting for periods where other MOUDs were prescribed. Clinical efforts need to include long-term retention in treatment as a key outcome, integrate adequate mental health treatment to help prevent suicide and overdose death, and account for key demographics that are considered at risk for both treatment discontinuation and mortality. Meanwhile, future research efforts should expand access to treatment, identify barriers to pharmacotherapies, implement qualitative studies to identify the decision to discontinue treatment, and develop innovative methods for improving retention to prevent opioid relapse.

Supplementary Material

Supplemental Material

ACKNOWLEDGMENTS

The funding sources to this study had no role in the study design; collection, analysis, and interpretation of data; writing of this report; or the decision to submit the report for publication. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs or the U.S. Government.

This work was supported by the National Institute on Drug Abuse’s R36 Drug Abuse Dissertation Grant [1R36DA050878-01] and a predoctoral training grant and a pilot grant from the Centers for Disease Control and Prevention/National Institute of Occupational Health and Safety/Heartland Center for Occupational Health and Safety (T420H008491). This material is the result of work supported with resources and the use of facilities at the (local) Department of Veterans Affairs Health Care System.

No other financial disclosures were reported by the authors of this paper.

Footnotes

SUPPLEMENTAL MATERIAL

Supplemental materials associated with this article can be found in the online version at https://doi.org/10.1016/j.amepre.2021.02.026.

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