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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">7508686</journal-id><journal-id journal-id-type="pubmed-jr-id">6347</journal-id><journal-id journal-id-type="nlm-ta">Pain</journal-id><journal-id journal-id-type="iso-abbrev">Pain</journal-id><journal-title-group><journal-title>Pain</journal-title></journal-title-group><issn pub-type="ppub">0304-3959</issn><issn pub-type="epub">1872-6623</issn></journal-meta><article-meta><article-id pub-id-type="pmid">33863865</article-id><article-id pub-id-type="pmc">8494834</article-id><article-id pub-id-type="doi">10.1097/j.pain.0000000000002298</article-id><article-id pub-id-type="manuscript">NIHMS1690356</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Patient outcomes following opioid dose reduction among patients with
chronic opioid therapy</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Hallvik</surname><given-names>Sara E</given-names></name><degrees>MPH</degrees><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>El Ibrahimi</surname><given-names>Sanae</given-names></name><degrees>PhD, MPH</degrees><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A4">4</xref></contrib><contrib contrib-type="author"><name><surname>Johnston</surname><given-names>Kirbee</given-names></name><degrees>MPH</degrees><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Geddes</surname><given-names>Jonah</given-names></name><degrees>MPH</degrees><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Leichtling</surname><given-names>Gillian</given-names></name><degrees>BA</degrees><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Korthuis</surname><given-names>P. Todd</given-names></name><degrees>MD, MPH</degrees><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Hartung</surname><given-names>Daniel M.</given-names></name><degrees>PharmD, MPH</degrees><xref ref-type="aff" rid="A2">2</xref></contrib></contrib-group><aff id="A1"><label>1.</label>Comagine Health, Portland, OR</aff><aff id="A2"><label>2.</label>Oregon State University / Oregon Health &#x00026; Science University College of Pharmacy, Portland, OR</aff><aff id="A3"><label>3.</label>Oregon Health &#x00026; Science University, Portland, OR</aff><aff id="A4"><label>4.</label>University of Nevada, Las Vegas</aff><author-notes><corresp id="CR1"><bold>Corresponding Author:</bold> Sara E Hallvik, Comagine
Health, 650 NE Holladay St #1700, Portland, OR 97232, Phone: 503-382-3916, Fax:
503-382-3980, <email>shallvik@comagine.org</email>, Institutional URL: <ext-link ext-link-type="uri" xlink:href="http://www.comagine.org">www.comagine.org</ext-link></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>10</day><month>4</month><year>2021</year></pub-date><pub-date pub-type="ppub"><day>01</day><month>1</month><year>2022</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>1</month><year>2023</year></pub-date><volume>163</volume><issue>1</issue><fpage>83</fpage><lpage>90</lpage><!--elocation-id from pubmed: 10.1097/j.pain.0000000000002298--></article-meta></front><body><sec id="S1"><title>Introduction</title><p id="P1">The opioid crisis continues to be a major public health concern in the United
States (U.S.). Globally, 58 million people used opioids in 2018 accounting for the
majority of disability-adjusted life years lost [<xref rid="R41" ref-type="bibr">41</xref>]. Compared to other regions in the world, pharmaceutical opioids are
drivers of the opioid epidemic in North America [<xref rid="R41" ref-type="bibr">41</xref>]. In the same year in the U.S., 9.9 million people, representing 3.6%
of the population, reported opioid misuse in the past year [<xref rid="R40" ref-type="bibr">40</xref>].</p><p id="P2">Addressing the opioid epidemic in the U.S. has focused heavily on reducing
opioid prescribing with a notable effect: the national opioid prescribing rate was
51.4 prescriptions per 100 persons in 2018, the lowest in 13 years [<xref rid="R5" ref-type="bibr">5</xref>]. Even so, drug overdoses accounted for 67,367 overdose
deaths in 2018 with 69.5% of these deaths involving opioids (n=46,802) [<xref rid="R38" ref-type="bibr">38</xref>]. Opioid-related adverse events are on the
rise among patients without documented opioid prescriptions [<xref rid="R25" ref-type="bibr">25</xref>] along with increased use of illicit opioids like
heroin or fentanyl [<xref rid="R8" ref-type="bibr">8</xref>].</p><p id="P3">Following publication of Centers for Disease Control (CDC) Prescribing
Opioids for Chronic Pain in 2016 [<xref rid="R13" ref-type="bibr">13</xref>], some
have raised concern about unintended consequences of aggressive or involuntary
tapering of patients on chronic high-dose opioid therapy [<xref rid="R24" ref-type="bibr">24</xref>]. CDC Guideline calls for a collaborative approach
between clinicians and patients to determine appropriate tapering plans. However,
some may integrate elements of the CDC Guideline and reduce opioid prescribing in
ways that are not sensitive to patient needs or preferences. In fact, some
healthcare professionals have identified multilevel barriers to deprescribing (i.e.
dose reduction and discontinuation) [<xref rid="R26" ref-type="bibr">26</xref>]
while others have suggested opioid &#x0201c;stewardship&#x0201d; toolkits to reduce
opioid harms especially in high prescribing settings (e.g. emergency departments)
[<xref rid="R33" ref-type="bibr">33</xref>].</p><p id="P4">Few studies have examined unintended effects of abrupt discontinuation on
patient outcomes. Patients on chronic opioid therapy in one primary care clinic who
discontinued opioid prescriptions had nearly a three-fold increase in overdose risk
[<xref rid="R17" ref-type="bibr">17</xref>]. Elevated overdose mortality risk
remained high for 3 years following discontinuation of prescription opioids in a
Massachusetts cohort [<xref rid="R27" ref-type="bibr">27</xref>]. Mark et al. found
that many long-term opioid users are discontinued quickly and without prior dose
reduction, a pattern that is associated with increased risk of adverse events [<xref rid="R29" ref-type="bibr">29</xref>]. This finding focused on the relationship
between timing of discontinuation and the risk of an adverse opioid-related event
among patients on chronic opioid therapy but did not examine the interaction between
dose reduction and discontinuation, and did not assess opioid-related deaths or
suicide as outcomes.</p><p id="P5">The aim of this study was to evaluate the association between dose reduction
and risk of suicide, opioid overdose, and other opioid-related adverse events among
patients with high-dose chronic opioid therapy.</p></sec><sec id="S2"><title>Methods</title><sec id="S3"><title>Data sources</title><p id="P6">We assembled a dataset of Oregon Medicaid beneficiaries&#x02019; claims
linked with Prescription Drug Monitoring Program (PDMP) pharmacy data and death
certificate data from 2014 to 2017. The linked dataset included Medicaid
beneficiaries with any eligibility in the four-year period and at least one
opioid prescription or an opioid-related diagnosis (e.g. poisoning, dependence,
adverse event). Analysts in the Oregon Public Health Division linked and
de-identified the datasets [<xref rid="R19" ref-type="bibr">19</xref>]. All
activities were approved by the Oregon Health and Science University and Oregon
Public Health Division Institutional Review Boards.</p></sec><sec id="S4"><title>Cohort Development and Exposures</title><p id="P7">Within this linked dataset we first identified patients with chronic
opioid therapy (COT) [<xref rid="R18" ref-type="bibr">18</xref>]. We identified
opioids in PDMP data using the First Databank national drug code (NDC)
file&#x02019;s opioid therapeutic class [<xref rid="R32" ref-type="bibr">32</xref>]. COT was defined as 84 or more consecutive days with an opioid
available (excluding buprenorphine). We used the prescription fill date and
days&#x02019; supply variable to estimate opioid availability for each day of the
study period, then estimated each patient&#x02019;s average daily morphine
milligram equivalent dose (MME) on every day of their consecutive use period
using drug strength, MME conversion factor [<xref rid="R37" ref-type="bibr">37</xref>], fill dates, and days&#x02019; supply. Next, we applied a 28-day
rolling average to smooth out day-to-day variation in MME due to overlapping
medication fills. This calculation rolled forward, so for each day we estimated
the average daily dose of the 28 preceding days. Patients with at least 84
consecutive days (3 months) of opioid availability with an average daily MME of
50 or greater on each of those days were retained. We selected each
patient&#x02019;s first episode of high-dose COT.</p><p id="P8">We retained only patients whose COT episode ended in 2014 or 2015 to
allow sufficient follow-up. We considered the first day that the average daily
dose dropped below 50 MME following at least 84 consecutive days as the end of
COT and the index date with which we tracked subsequent dose changes. While dose
may vary over time, we only attempted to identify dose trajectories after the
average daily dose dropped below 50 MME.</p><p id="P9">Following this index date, we categorized patients into four mutually
exclusive groups (<xref rid="F1" ref-type="fig">Figure 1</xref>). We first
identified patients who discontinued opioid prescriptions in the year following
high-dose COT, defined as 56 consecutive days without any opioid availability.
Discontinuations were identified using the exact daily dosage because any
immediate and prolonged stoppage would appear gradual using a rolling average
approach. Among this group, we further categorized patients as having either an
abrupt discontinuation or a dose reduction prior to discontinuation. The dose
change calculation compared two 28-day average MME values: the day immediately
preceding the exact discontinuation date and day 29 days prior. Abrupt
discontinuation was defined as a dose increase, stable dose, or reduction
&#x0003c;50% in the four weeks before discontinuation. A dose reduction prior to
discontinuation was defined as a reduction in average daily MME of &#x02265;50%
in the four weeks preceding discontinuation.</p><p id="P10">Next, we identified patients who did not discontinue opioid
prescriptions in the year after the end of their COT episode. These patients may
have had days without opioids totaling less than 56 consecutive days. We
categorized COT patients who did not discontinue opioid prescriptions as either
having a dose reduction without discontinuation or a stable or increasing dose
in the year after the end of their COT episode. A dose reduction without
discontinuation was defined as a &#x02265;50% reduction in average daily MME in
any 4-week period after the end of the COT period, but without ever
discontinuing opioid prescriptions for 56 or more consecutive days. A stable or
increasing dose without discontinuation was defined as a dose increase, stable
dose, or reduction &#x0003c;50% in the year after the end of the COT episode
without ever discontinuing opioid prescriptions for 56 or more consecutive days.
Deceased patients with a discontinuation date on or after their date of death
were placed in this last group.</p></sec><sec id="S5"><title>Outcomes</title><p id="P11">Outcomes were assessed in a 12-month period starting 28 days prior to
discontinuation for those who discontinued (abrupt discontinuation or dose
reduction prior to discontinuation) and following the start of the dose
reduction for those with a dose reduction who did not discontinue (<xref rid="F2" ref-type="fig">Figure 2</xref>). For patients with a stable or
increasing dose, the 12-month follow-up started at end of their COT episode
(i.e. the first day they fell below 50 MME per day). We measured outcomes using
death certificate and Medicaid encounter data. To ensure complete capture of
non-fatal suicide, overdose, and other related adverse events from claims data,
patients were required to have continuous Medicaid enrollment throughout their
follow-up period. Patients who died during the follow-up were included until
their date of death.</p><p id="P12">We characterized the occurrence of three potential opioid-related events
in the follow up period: suicide, opioid overdose, and other opioid-related
adverse events. We identified both fatal [<xref rid="R11" ref-type="bibr">11</xref>] and non-fatal [<xref rid="R21" ref-type="bibr">21</xref>]
suicides and opioid overdose events using ICD9 and ICD10 diagnostic codes. Other
opioid-related adverse events included a diagnosis indicative of adverse
effects, opioid abuse, opioid dependence, and opioid use, unspecified as
identified by ICD9 and ICD10 diagnostic codes in any setting (<xref rid="SD1" ref-type="supplementary-material">Table A</xref>, <xref rid="SD1" ref-type="supplementary-material">Appendix A</xref>) [<xref rid="R22" ref-type="bibr">22</xref>].</p><p id="P13">Because opioid discontinuation can be implemented for the purpose of
clinically indicated buprenorphine induction, we also identified patients who
filled at least one buprenorphine prescription during the 12-month follow-up
period.</p></sec><sec id="S6"><title>Analyses and Covariable Adjustment</title><p id="P14">We tabulated the number of patients with each event type according to
dose change group and used chi-square tests to identify statistically
significant differences. We used Cox proportional hazard models to evaluate the
differences in time-to-event risk of any opioid-related event (fatal or
non-fatal suicide, fatal or non-fatal overdose, other adverse events) between
the dose change groups. The proportional hazards assumption was tested and met
based on the graphed Schoenfeld residuals for predictors and covariables. We
adjusted tied data using the Efron approximation. We also modeled the odds of
filling a buprenorphine prescription after COT using logistic regression. All
models were adjusted patient demographics, baseline COT characteristics, and
comorbidities.</p><p id="P15">Demographics included age, race/ethnicity, and rural/urban status.
Patient zip code was used to define rural or urban residence according to the
Oregon Office of Rural Health [<xref rid="R20" ref-type="bibr">20</xref>]. We
characterized baseline COT for patients filling opioid and benzodiazepine
prescriptions during their COT episode. Specifically, we computed the average
MME per day during COT, identified those with concurrent benzodiazepine use, and
having multiple providers (4 or more prescribers or 4 or more pharmacies in any
six-month period during the COT episode). These variables have been associated
with increased risk of poorer opioid related outcomes [<xref rid="R2" ref-type="bibr">2</xref>; <xref rid="R12" ref-type="bibr">12</xref>; <xref rid="R36" ref-type="bibr">36</xref>].</p><p id="P16">We used diagnostic codes appearing in Medicaid claims in the 3 months
prior to the end of the index COT episode to characterize any drug abuse,
depression, alcohol abuse [<xref rid="R14" ref-type="bibr">14</xref>] or chronic
pain [<xref rid="R30" ref-type="bibr">30</xref>] comorbidities (<xref rid="SD2" ref-type="supplementary-material">Table B</xref>, <xref rid="SD2" ref-type="supplementary-material">Appendix A</xref>).</p><p id="P17">P values were considered significant at p&#x0003c;0.05. Data management
and analyses were performed using SAS 9.2 (SAS Institute Inc., Cary, North
Carolina).</p></sec></sec><sec id="S7"><title>Results</title><p id="P18">The linked dataset contained 354,841 patients with Medicaid eligibility and
an opioid prescription or opioid-related diagnoses between 2014 and 2017. Of these,
20,575 (5.8%) patients had at least one episode of high-dose COT that ended in 2014
or 2015 (<xref rid="F1" ref-type="fig">Figure 1</xref>).</p><p id="P19">Of the 14,596 high-dose COT patients that met continuous enrollment
criteria, 4,191 (28.7%) abruptly discontinued opioid prescriptions in the year after
high-dose COT, 1,648 (11.3%) reduced opioid dose prior to discontinuing, 6,480
(44.4%) had a dose reduction but never discontinued, and 2,277 (15.6%) had a stable
or increasing dose in the year following the COT episode (<xref rid="F1" ref-type="fig">Figure 1</xref>).</p><p id="P20">Patients with an abrupt discontinuation had the highest daily average MME
during the COT episode (mean 146.08, SD 735.53) while patients with a stable or
increasing dose had the lowest average MME (mean 103.46, SD 76.49) (<xref rid="T1" ref-type="table">Table 1</xref>). Patients who discontinued opioid prescriptions
(abruptly or with a preceding dose reduction) were younger and less likely to be
female than patients who did not discontinue opioid prescriptions (with or without a
dose reduction). Patients with a dose reduction and discontinuation were more likely
to have a multiple prescriber or pharmacy episode during COT or diagnoses of chronic
pain, depression, alcohol abuse, or any drug abuse in the 3-months prior to the end
of the COT than patients in other groups (<xref rid="T1" ref-type="table">Table
1</xref>).</p><p id="P21">Overall, 625 (4.3%) patients had an opioid-related event (<xref rid="T2" ref-type="table">Table 2</xref>). Patients who discontinued opioid prescriptions
(with or without a dose reduction) were more likely to have a suicide event (1.0%
and 1.4% vs. 0.3% and 0.2%) or experience some other opioid-related harm (3.8% and
4.6% vs. 2.7% and 1.9%) than those who did not discontinue (p&#x0003c;0.0001).
Patients with a stable or increasing dose were most likely to experience an opioid
overdose (1.7%, p=0.0002) (<xref rid="T2" ref-type="table">Table 2</xref>).</p><p id="P22">Among patients with an opioid overdose, those who abruptly discontinued
opioid prescriptions were more likely than patients in all other groups to overdose
on heroin vs prescription opioids (n=8, 14.8%, p=0.0622) while patients with a
stable or increasing dose were more likely to experience a fatal overdose (n=27,
67.5%, p&#x0003c;0.0001). Among patients with a suicide event, those with an abrupt
discontinuation were more likely to experience a fatal event (n=23, 57.5%,
p&#x0003c;0.0001) than patients in other dose change groups (<xref rid="T2" ref-type="table">Table 2</xref>).</p><p id="P23">Patients with an abrupt discontinuation (n=192, 4.6%) or dose reduction
prior to discontinuation (n=83, 5.0%) were more likely to have filled at least one
buprenorphine prescription during the follow-up period than patients in other dose
change groups (p&#x0003c;0.0001) (<xref rid="T2" ref-type="table">Table
2</xref>).</p><p id="P24">Discontinuation significantly increased risk of suicide compared to those
with stable or increasing dose (abrupt, adjusted hazard ratio (aHR) 3.63; 95% CI
1.42&#x02013;9.25 or with dose reduction, aHR 4.47, 95% CI 1.68&#x02013;11.88), while
discontinuation or dose reduction reduced the risk of overdose compared to those
with a stable or increasing dose (aHR 0.36 &#x02013; 0.62, 95% CI 0.20 &#x02013; 0.94)
(<xref rid="T3" ref-type="table">Table 3</xref>).</p><p id="P25">Those with an abrupt discontinuation (aOR 15.07, 95% CI 7.28&#x02013;38.38),
dose reduction and discontinuation (aOR 14.83, 95% CI 7.00&#x02013;38.33), or dose
reduction without discontinuation (aOR 2.47, 95% CI 1.14&#x02013;6.46) all had higher
odds of filling a buprenorphine prescription relative to those with a stable or
increasing dose (<xref rid="T3" ref-type="table">Table 3</xref>). Full models with
adjusted covariates and survival curves can be found in <xref rid="T1" ref-type="table">Table 1</xref>, <xref rid="SD2" ref-type="supplementary-material">Appendix B</xref>.</p></sec><sec id="S8"><title>Discussion</title><p id="P26">In this cohort of Medicaid beneficiaries with an episode of chronic opioid
therapy (COT), discontinuation of opioid prescriptions (abrupt or with dose
reduction) increased the patient&#x02019;s risk of suicide or opioid related adverse
events in the following year. Patients with an abrupt discontinuation were more
likely to overdose on heroin (vs. prescription opioids) or experience a fatal
suicide than those in all other dose change groups. Patients on a stable or
increasing dose were more likely to experience an overdose event. Patients who
discontinued opioid prescriptions had higher odds of filling a buprenorphine
prescription.</p><p id="P27">This study broadens our understanding of the potential risks of opioid
discontinuation among individuals using high-dose COT. Similar to Mark et al [<xref rid="R29" ref-type="bibr">29</xref>], we find that individuals with an abrupt
discontinuation face increased risk for some harms, but we also find increased risk
of overdose among those with a stable or increasing dose. Our findings extend these
observations to a cohort of individuals with COT at a lower average dose (50 versus
120 MME daily) and highlight specific risks.</p><p id="P28">There has recently been a shift in deaths from prescription opioids to
heroin and synthetic opioid overdose deaths [<xref rid="R34" ref-type="bibr">34</xref>]. Prescription opioid use or misuse is common among individuals who
initiate heroin [<xref rid="R31" ref-type="bibr">31</xref>]; one study suggests that
restrictive policies on prescription opioids, sometimes leading to opioid
discontinuation, may precipitate heroin use [<xref rid="R25" ref-type="bibr">25</xref>]. Moreover, the combination of prescription opioid use prior to
injection drug use is associated with increased overdose risk [<xref rid="R1" ref-type="bibr">1</xref>]. Consistent with these observations, we find that
heroin-related overdose was more common among individuals who abruptly discontinued
opioid prescriptions. We also found that fatal overdose was more common among
individuals with a stable or increasing dose, though individuals in this group were
also more likely to overdose on prescription opioids than heroin.</p><p id="P29">Growing evidence suggests the use of sublingual buprenorphine may confer
analgesic effects in patients with chronic non-cancer pain. In addition,
opioid-dependent patients with chronic pain may benefit from reversal of
opioid-induced hyperalgesia and improvement in opioid tolerance [<xref rid="R6" ref-type="bibr">6</xref>; <xref rid="R7" ref-type="bibr">7</xref>; <xref rid="R10" ref-type="bibr">10</xref>]. In this study, patients who discontinued
opioid prescriptions or reduced their dose without ever discontinuing had higher
odds of filling a buprenorphine prescription than those who had a stable or
increasing dose, suggesting that some patients may be transitioned to buprenorphine.
However, the degree to which people were switched to buprenorphine for opioid use
disorder, chronic pain management, or both is unclear.</p><p id="P30">This study raises several important issues. Discontinuation after COT may
increase risks of heroin overdose, suicide, or other adverse events, so
discontinuation should be carefully considered in partnership with the patient. We
found that opioid harms were most common among those with a dose reduction prior to
discontinuation, so even when dose reduction is the best identified clinical course,
clinical caution is merited [<xref rid="R28" ref-type="bibr">28</xref>]. Certain
conditions may favor rapid tapering or discontinuation [<xref rid="R3" ref-type="bibr">3</xref>], yet in general, the CDC guideline recommends slow
dose reductions over a longer time period for patients with COT [<xref rid="R4" ref-type="bibr">4</xref>]. We found that stable or increasing dose of opioids
carries a notable risk of fatal overdose, and emphasize the importance of patient
education and co-prescriptions for naloxone [<xref rid="R9" ref-type="bibr">9</xref>]. Lastly, after end of COT, patients had characteristics similar to
patients with opioid use disorder (OUD) [<xref rid="R15" ref-type="bibr">15</xref>;
<xref rid="R23" ref-type="bibr">23</xref>; <xref rid="R39" ref-type="bibr">39</xref>] as well as a high proportion of health services utilization for OUD
(opioid misuse and opioid dependence) after opioid discontinuation or reduction
[<xref rid="R43" ref-type="bibr">43</xref>]. Wei et al, found that 50% of
patients on chronic opioid therapy developed OUD within a year [<xref rid="R42" ref-type="bibr">42</xref>]; therefore, tapering decisions should account for
presence or risk of OUD in patients on COT to reduce any potential harms.</p><p id="P31">This study has several limitations. First, the observational design does not
permit us to disentangle issues related to temporality and causation; we do not know
why prescriptions were interrupted. Patients who were incarcerated or hospitalized
may have erroneously appeared to discontinue use. The length of COT may be
underestimated and we cannot ascertain any differences in the length of COT across
the four cohorts because we were limited by the start of our study period [<xref rid="R35" ref-type="bibr">35</xref>].</p><p id="P32">The patient cohort is comprised entirely of Oregon Medicaid members, so may
not represent national patterns [<xref rid="R16" ref-type="bibr">16</xref>]. We also
could not determine clinical indication for COT, thus, we could not evaluate the
appropriateness of any opioid use, nor could we determine the appropriateness of the
identified dose reductions or discontinuations. As with all studies using claims
data, we may underestimate risk if there was not a billed medical visit as a result
of an overdose, suicide attempt, or other adverse event. To mitigate this limitation
we applied a continuous enrollment criterion and used PDMP data instead of pharmacy
claims to ensure that we captured all opioid prescriptions including those paid with
cash, and we used vital statistics data to identify fatal events that may not have
been identified in claims.</p><p id="P33">In summary, discontinuation of prescription opioid dose after a period of
high-dose long-term use is associated with an increased risk of suicide or other
opioid-related harms, while a stable or increasing opioid dose is associated with an
increased risk of opioid overdose. Our study suggests that patients on COT require
careful risk assessment and supportive interventions when considering opioid
discontinuation or continuation at a high dose.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material content-type="local-data" id="SD1"><label>Supplementary Materials: figures, tables_1</label><media xlink:href="NIHMS1690356-supplement-Supplementary_Materials__figures__tables_1.docx" orientation="portrait" id="d40e404" position="anchor"/></supplementary-material><supplementary-material content-type="local-data" id="SD2"><label>Supplementary Materials: figures, tables_2</label><media xlink:href="NIHMS1690356-supplement-Supplementary_Materials__figures__tables_2.docx" orientation="portrait" id="d40e407" position="anchor"/></supplementary-material></sec></body><back><ack id="S9"><title>Acknowledgements</title><p id="P34">The authors wish to thank Kun Zhang at the CDC and Christi Hildebran at
Comagine Health for their contributions of ongoing support, guidance, and insight.
The authors also wish to thank Josh Van Otterloo and the Oregon Health Authority
Injury and Violence Prevention Program for their technical help, partnership, and
support. This work was made possible by funding from the Centers for Disease Control
and Prevention, CDC U01CE002786. Dr. Korthuis time was further supported from grants
from the National Institutes of Health, National Institute on Drug Abuse
(UG3DA044831, UG1DA015815). Dr. Korthuis serves as principal investigator for
NIH-funded grants that receive donated study medications from Indivior
(buprenorphine) and Alkermes (extended-release naltrexone). The authors have no
conflicts of interest to disclose.</p></ack><ref-list><title>References</title><ref id="R1"><label>[1]</label><mixed-citation publication-type="journal"><name><surname>Al-Tayyib</surname><given-names>AA</given-names></name>, <name><surname>Koester</surname><given-names>S</given-names></name>, &#x00026; <name><surname>Riggs</surname><given-names>P</given-names></name> (<year>2017</year>). <article-title>Prescription opioids prior to
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dose reduction and discontinuation, dose reduction without discontinuation, or
stable or increasing dose after the end of high-dose chronic opioid therapy</p></caption><graphic xlink:href="nihms-1690356-f0001"/></fig><fig id="F2" orientation="portrait" position="float"><label>Figure 2:</label><caption><p id="P36">Timeline, from Chronic Opioid Therapy to Dose Trajectory Group to
Follow-up Period</p></caption><graphic xlink:href="nihms-1690356-f0002"/></fig><table-wrap id="T1" position="float" orientation="portrait"><label>Table 1:</label><caption><p id="P37">Patient characteristics according to opioid dose trajectory in 12 months
after the end of high-dose chronic opioid therapy (COT)</p></caption><table frame="box" rules="all"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1">Total</th><th align="left" valign="top" rowspan="1" colspan="1">Abrupt discontinuation</th><th align="left" valign="top" rowspan="1" colspan="1">Dose reduction and discontinuation</th><th align="left" valign="top" rowspan="1" colspan="1">Dose reduction without discontinuation</th><th align="left" valign="top" rowspan="1" colspan="1">Stable or increasing dose</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">N (%)</td><td align="left" valign="top" rowspan="1" colspan="1">14,596</td><td align="left" valign="top" rowspan="1" colspan="1">4,191 (28.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">1,648 (11.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">6,480 (44.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">2,277 (15.6%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td colspan="4" align="left" valign="top" style="border-right: hidden 1px" rowspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">
<italic>Mean (SD)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic>Mean (SD)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic>Mean (SD)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic>Mean (SD)</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Average MME during chronic opioid therapy</td><td align="left" valign="top" rowspan="1" colspan="1">129.85 (403.29)</td><td align="left" valign="top" rowspan="1" colspan="1">146.08 (735.53)</td><td align="left" valign="top" rowspan="1" colspan="1">142.13 (114.96)</td><td align="left" valign="top" rowspan="1" colspan="1">125.51 (103.08)</td><td align="left" valign="top" rowspan="1" colspan="1">103.46 (76.49)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">
<italic>N (%)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic>N (%)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic>N (%)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic>N (%)</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Top 5 drug types in COT (n, % of
prescriptions)</td><td align="left" valign="top" rowspan="1" colspan="1">259,678 (100.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">72,590 (28.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">33,920 (13.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">113,347 (43.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">39,821 (15.3%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Oxycodone HCL</td><td align="left" valign="top" rowspan="1" colspan="1">85,714 (33.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">25,809 (35.5%)</td><td align="left" valign="top" rowspan="1" colspan="1">13,791 (40.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">34,896 (30.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">11,218 (28.2)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Hydrocodone / Acetaminophen</td><td align="left" valign="top" rowspan="1" colspan="1">47,039 (18.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">11,092 (15.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">4,299 (12.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">22,328 (19.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">9,320 (23.4%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Morphine Sulfate</td><td align="left" valign="top" rowspan="1" colspan="1">41,705 (16.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">11,602 (16.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">5,032 (14.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">18,761 (16.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">6,310 (15.9%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Methadone HCL</td><td align="left" valign="top" rowspan="1" colspan="1">26,860 (10.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">8,230 (11.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">3,417 (10.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">11,542 (10.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">3,671 (9.2%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Oxycodone HCL / Acetaminophen</td><td align="left" valign="top" rowspan="1" colspan="1">26,213 (10.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">6,598 (9.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">3,128 (9.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">11,671 (10.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">4,816 (12.1%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">
<italic>N (%)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic>N (%)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic>N (%)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic>N (%)</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Benzodiazepine filled</td><td align="left" valign="top" rowspan="1" colspan="1">6,447 (44.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">1,870 (44.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">764 (46.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">2,856 (44.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">957 (42.0%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Multiple prescriber episode during chronic
opioid therapy</td><td align="left" valign="top" rowspan="1" colspan="1">3,000 (20.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">889 (21.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">542 (32.9%)</td><td align="left" valign="top" rowspan="1" colspan="1">1,166 (18.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">403 (17.7%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Multiple pharmacy episode during chronic
opioid therapy</td><td align="left" valign="top" rowspan="1" colspan="1">1,433 (9.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">463 (11.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">272 (16.5%)</td><td align="left" valign="top" rowspan="1" colspan="1">556 (8.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">142 (6.2%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">
<italic>N (%)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic>N (%)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic>N (%)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic>N (%)</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Female</td><td align="left" valign="top" rowspan="1" colspan="1">8,766 (60.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">2,372 (56.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">917 (55.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">4,081 (63.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">1,396 (61.3%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Rural</td><td align="left" valign="top" rowspan="1" colspan="1">7,113 (48.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">2,038 (48.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">804 (48.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">3,213 (49.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">1,058 (46.5%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Age</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">0&#x02013;29</td><td align="left" valign="top" rowspan="1" colspan="1">459 (3.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">179 (4.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">89 (5.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">140 (2.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">51 (2.2%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">30&#x02013;39</td><td align="left" valign="top" rowspan="1" colspan="1">1,828 (12.5%)</td><td align="left" valign="top" rowspan="1" colspan="1">619 (14.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">306 (18.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">676 (10.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">227 (10.0%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">40&#x02013;49</td><td align="left" valign="top" rowspan="1" colspan="1">2,803 (19.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">895 (21.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">371 (22.5%)</td><td align="left" valign="top" rowspan="1" colspan="1">1,154 (17.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">383 (16.8%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">50&#x02013;59</td><td align="left" valign="top" rowspan="1" colspan="1">4,865 (33.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">1,308 (31.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">533 (32.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">2,224 (34.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">800 (35.1%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">60+</td><td align="left" valign="top" rowspan="1" colspan="1">4,641 (31.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">1,190 (28.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">349 (21.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">2,286 (35.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">816 (35.8%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Race</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">White</td><td align="left" valign="top" rowspan="1" colspan="1">11,285 (77.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">3,242 (77.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">1,215 (73.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">5,089 (78.5%)</td><td align="left" valign="top" rowspan="1" colspan="1">1,739 (76.4%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Black</td><td align="left" valign="top" rowspan="1" colspan="1">441 (3.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">90 (2.1%</td><td align="left" valign="top" rowspan="1" colspan="1">39 (2.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">207 (3.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">105 (4.6%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Other<xref rid="TFN2" ref-type="table-fn">*</xref></td><td align="left" valign="top" rowspan="1" colspan="1">693 (4.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">180 (4.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">98 (6.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">304 (4.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">111 (4.9%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Unknown<xref rid="TFN2" ref-type="table-fn">*</xref></td><td align="left" valign="top" rowspan="1" colspan="1">2,177 (14.9%)</td><td align="left" valign="top" rowspan="1" colspan="1">679 (16.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">296 (18.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">880 (13.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">322 (14.1%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Comorbidities</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Alcohol abuse</td><td align="left" valign="top" rowspan="1" colspan="1">205 (1.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">76 (1.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">45 (2.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">69 (1.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">15 (0.7%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Depression</td><td align="left" valign="top" rowspan="1" colspan="1">994 (6.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">290 (6.9%)</td><td align="left" valign="top" rowspan="1" colspan="1">151 (9.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">417 (6.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">136 (6.0%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Drug abuse</td><td align="left" valign="top" rowspan="1" colspan="1">774 (5.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">301 (7.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">160 (9.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">229 (3.5%)</td><td align="left" valign="top" rowspan="1" colspan="1">84 (3.7%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Chronic pain</td><td align="left" valign="top" rowspan="1" colspan="1">6,119 (41.9%)</td><td align="left" valign="top" rowspan="1" colspan="1">1,792 (41.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">887 (53.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">2,483 (38.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">957 (42.0%)</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P38">HCL: hydrochloride</p></fn><fn id="TFN2"><label>*</label><p id="P39">Unknown race includes missing, refused, and unknown. Other race
includes all other racial categories.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T2" position="float" orientation="portrait"><label>Table 2:</label><caption><p id="P40">Number and percent of people with a fatal or non-fatal suicide event,
fatal or non-fatal opioid overdose, opioid-related adverse event, or
buprenorphine fill in 12 months after discontinuation or dose reduction
according to opioid dose trajectory<xref rid="TFN3" ref-type="table-fn">*</xref></p></caption><table frame="box" rules="all"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1">Total</th><th align="left" valign="top" rowspan="1" colspan="1">Abrupt discontinuation</th><th align="left" valign="top" rowspan="1" colspan="1">Dose reduction and discontinuation</th><th align="left" valign="top" rowspan="1" colspan="1">Dose reduction without discontinuation</th><th align="left" valign="top" rowspan="1" colspan="1">Stable or increasing dose</th><th align="left" valign="top" rowspan="1" colspan="1">
<italic>p-value</italic>
</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">N (%)</td><td align="left" valign="top" rowspan="1" colspan="1">14,596</td><td align="left" valign="top" rowspan="1" colspan="1">4,191 (28.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">1,648 (11.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">6,480 (44.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">2,277 (15.6%)</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Median days between end of COT and start of
follow-up</td><td align="left" valign="top" rowspan="1" colspan="1">8</td><td align="left" valign="top" rowspan="1" colspan="1">29</td><td align="left" valign="top" rowspan="1" colspan="1">23</td><td align="left" valign="top" rowspan="1" colspan="1">30</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="7" align="left" valign="top" rowspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Any opioid-related event<xref rid="TFN4" ref-type="table-fn">**</xref></td><td align="left" valign="top" rowspan="1" colspan="1">625 (4.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">222 (5.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">101 (6.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">220 (3.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">82 (3.6%)</td><td align="right" valign="top" rowspan="1" colspan="1">
<italic>&#x0003c;0.0001</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Suicide</td><td align="left" valign="top" rowspan="1" colspan="1">88 (0.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">40 (1.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">23 (1.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">20 (0.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">5 (0.2%)</td><td align="right" valign="top" rowspan="1" colspan="1">
<italic>&#x0003c;0.0001</italic>
</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Fatal</td><td align="left" valign="top" rowspan="1" colspan="1">31 (35.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">23 (57.5%)</td><td align="left" valign="top" rowspan="1" colspan="1">3 (13.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">5 (25.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">0 (0.0%)</td><td align="right" valign="top" rowspan="1" colspan="1">
<italic>&#x0003c;0.0001</italic>
</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Non-fatal</td><td align="left" valign="top" rowspan="1" colspan="1">57 (64.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">17 (42.5%)</td><td align="left" valign="top" rowspan="1" colspan="1">20 (87.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">15 (75.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">5 (100.0%)</td><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="right" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Opioid Overdose</td><td align="left" valign="top" rowspan="1" colspan="1">156 (1.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">54 (1.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">15 (0.9%)</td><td align="left" valign="top" rowspan="1" colspan="1">47 (0.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">40 (1.7%)</td><td align="right" valign="top" rowspan="1" colspan="1">
<italic>0.0002</italic>
</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Fatal</td><td align="left" valign="top" rowspan="1" colspan="1">42 (26.9%)</td><td align="left" valign="top" rowspan="1" colspan="1">11 (20.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">2 (13.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">2 (4.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">27 (67.5%)</td><td align="right" valign="top" rowspan="1" colspan="1">
<italic>&#x0003c;0.0001</italic>
</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Non-fatal</td><td align="left" valign="top" rowspan="1" colspan="1">114 (73.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">43 (79.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">13 (86.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">45 (95.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">13 (32.5%)</td><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Heroin</td><td align="left" valign="top" rowspan="1" colspan="1">14 (9.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">8 (14.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (6.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">2 (4.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">3 (7.5%)</td><td align="right" valign="top" rowspan="1" colspan="1">
<italic>0.0622</italic>
</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Rx Opioid</td><td align="left" valign="top" rowspan="1" colspan="1">142 (91.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">46 (85.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">14 (93.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">45 (95.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">37 (92.5%)</td><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="right" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Other Opioid-related Harms</td><td align="left" valign="top" rowspan="1" colspan="1">462 (3.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">160 (3.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">76 (4.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">182 (2.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">44 (1.9%)</td><td align="right" valign="top" rowspan="1" colspan="1">
<italic>&#x0003c;0.0001</italic>
</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Adverse Effects</td><td align="left" valign="top" rowspan="1" colspan="1">32 (6.9%)</td><td align="left" valign="top" rowspan="1" colspan="1">9 (5.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">3 (3.9%)</td><td align="left" valign="top" rowspan="1" colspan="1">16 (8.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">4 (9.1%)</td><td align="right" valign="top" rowspan="1" colspan="1">
<italic>0.9117</italic>
</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Opioid Abuse</td><td align="left" valign="top" rowspan="1" colspan="1">60 (13.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">33 (20.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">11 (14.5%)</td><td align="left" valign="top" rowspan="1" colspan="1">12 (6.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">4 (9.1%)</td><td align="right" valign="top" rowspan="1" colspan="1">
<italic>&#x0003c;0.0001</italic>
</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Opioid Dependence</td><td align="left" valign="top" rowspan="1" colspan="1">361 (78.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">177 (73.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">12 (6.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">149 (81.9%)</td><td align="left" valign="top" rowspan="1" colspan="1">36 (81.8%)</td><td align="right" valign="top" rowspan="1" colspan="1">
<italic>&#x0003c;0.0001</italic>
</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Opioid Use, Unspecified</td><td align="left" valign="top" rowspan="1" colspan="1">9 (1.9%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (0.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">4 (9.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">5 (2.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">0 (0.0%)</td><td align="right" valign="top" rowspan="1" colspan="1">
<italic>0.0173</italic>
</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Buprenorphine Filled</td><td align="left" valign="top" rowspan="1" colspan="1">327 (2.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">192 (4.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">83 (5.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">46 (0.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">6 (0.3%)</td><td align="right" valign="top" rowspan="1" colspan="1">
<italic>&#x0003c;0.0001</italic>
</td></tr></tbody></table><table-wrap-foot><fn id="TFN3"><label>*</label><p id="P41">Some patients had more than one outcome event, so are counted once
in each event type category. For example, an individual with a non-fatal
overdose and an opioid abuse indicator would be counted twice, once in each
category. Where a patient experienced multiple events of the same type (e.g.
multiple non-fatal Rx Opioid overdoses) they are counted once; if multiple
events within a category differed, the more severe event was counted (e.g.
an individual with a prescription overdose and heroin overdose would be
counted once in the heroin category).</p></fn><fn id="TFN4"><label>**</label><p id="P42">Any opioid-related event flags whether a patient had any of the
events regardless of the count.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T3" position="float" orientation="portrait"><label>Table 3:</label><caption><p id="P43">Adjusted hazard ratios of opioid related events and adjusted odds ratios
for buprenorphine fills in 12 months after discontinuation or dose reduction,
according to opioid dose trajectory</p></caption><table frame="box" rules="all"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th rowspan="2" align="left" valign="top" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1">Risk of any event</th><th align="center" valign="top" rowspan="1" colspan="1">Risk of suicide</th><th align="center" valign="top" rowspan="1" colspan="1">Risk of overdose</th><th align="center" valign="top" rowspan="1" colspan="1">Risk of Adverse events</th><th align="center" valign="top" rowspan="1" colspan="1">Buprenorphine Filled</th></tr><tr><th align="center" valign="top" rowspan="1" colspan="1">aHR (95% CI)<xref rid="TFN6" ref-type="table-fn">*</xref></th><th align="center" valign="top" rowspan="1" colspan="1">aHR (95% CI)<xref rid="TFN6" ref-type="table-fn">*</xref></th><th align="center" valign="top" rowspan="1" colspan="1">aHR (95% CI)<xref rid="TFN6" ref-type="table-fn">*</xref></th><th align="center" valign="top" rowspan="1" colspan="1">aHR (95% CI)<xref rid="TFN6" ref-type="table-fn">*</xref></th><th align="center" valign="top" rowspan="1" colspan="1">aOR (95% CI)<xref rid="TFN6" ref-type="table-fn">*</xref></th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Stable or increasing dose</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic>Reference</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic>Reference</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic>Reference</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic>Reference</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic>Reference</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Abrupt discontinuation</td><td align="left" valign="top" rowspan="1" colspan="1">1.22 (0.94&#x02013;1.58)</td><td align="left" valign="top" rowspan="1" colspan="1">3.63 (1.42&#x02013;9.25)</td><td align="left" valign="top" rowspan="1" colspan="1">0.62 (0.40&#x02013;0.94)</td><td align="left" valign="top" rowspan="1" colspan="1">1.61 (1.15&#x02013;2.26)</td><td align="left" valign="top" rowspan="1" colspan="1">15.07 (7.28&#x02013;38.38)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Dose reduction and discontinuation</td><td align="left" valign="top" rowspan="1" colspan="1">1.13 (0.84&#x02013;1.53)</td><td align="left" valign="top" rowspan="1" colspan="1">4.47 (1.68&#x02013;11.88)</td><td align="left" valign="top" rowspan="1" colspan="1">0.36 (0.20&#x02013;0.66)</td><td align="left" valign="top" rowspan="1" colspan="1">1.54 (1.05&#x02013;2.25)</td><td align="left" valign="top" rowspan="1" colspan="1">14.83 (7.00&#x02013;38.33)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Dose reduction without discontinuation</td><td align="left" valign="top" rowspan="1" colspan="1">0.94 (0.73&#x02013;1.21)</td><td align="left" valign="top" rowspan="1" colspan="1">1.29 (0.48&#x02013;3.45)</td><td align="left" valign="top" rowspan="1" colspan="1">0.41 (0.27&#x02013;0.62)</td><td align="left" valign="top" rowspan="1" colspan="1">1.45 (1.04&#x02013;2.02)</td><td align="left" valign="top" rowspan="1" colspan="1">2.47 (1.14&#x02013;6.46)</td></tr></tbody></table><table-wrap-foot><fn id="TFN5"><p id="P44">aHR: adjusted hazard ratio; OR: odds ratio, CI: confidence
interval</p></fn><fn id="TFN6"><label>*</label><p id="P45">Adjusted for age, gender, race, rurality, comorbidities, MME dose,
filled benzodiazepines, chronic pain</p></fn></table-wrap-foot></table-wrap></floats-group></article>