<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article
  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">PLoS ONE</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosone</journal-id>
<journal-title-group>
<journal-title>PLOS ONE</journal-title>
</journal-title-group>
<issn pub-type="epub">1932-6203</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, CA USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.1371/journal.pone.0134550</article-id>
<article-id pub-id-type="publisher-id">PONE-D-14-34307</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Sex Differences in Dose Escalation and Overdose Death during Chronic Opioid Therapy: A Population-Based Cohort Study</article-title>
<alt-title alt-title-type="running-head">Sex Differences in Chronic Opioid Therapy</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Kaplovitch</surname>
<given-names>Eric</given-names>
</name>
<xref rid="aff001" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Gomes</surname>
<given-names>Tara</given-names>
</name>
<xref rid="aff002" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff003" ref-type="aff"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Camacho</surname>
<given-names>Ximena</given-names>
</name>
<xref rid="aff002" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Dhalla</surname>
<given-names>Irfan A.</given-names>
</name>
<xref rid="aff001" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff002" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Mamdani</surname>
<given-names>Muhammad M.</given-names>
</name>
<xref rid="aff002" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff003" ref-type="aff"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes" xlink:type="simple">
<name name-style="western">
<surname>Juurlink</surname>
<given-names>David N.</given-names>
</name>
<xref rid="aff001" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff002" ref-type="aff"><sup>2</sup></xref>
<xref rid="cor001" ref-type="corresp">*</xref>
</contrib>
</contrib-group>
<aff id="aff001"><label>1</label> <addr-line>Department of Medicine, University of Toronto, Toronto, Ontario, Canada</addr-line></aff>
<aff id="aff002"><label>2</label> <addr-line>Chronic Disease and Pharmacotherapy Research Program, Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada</addr-line></aff>
<aff id="aff003"><label>3</label> <addr-line>Department of Pharmacy, University of Toronto, Toronto, Ontario, Canada</addr-line></aff>
<contrib-group>
<contrib contrib-type="editor" xlink:type="simple">
<name name-style="western">
<surname>Mintzes</surname>
<given-names>Barbara</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"/>
</contrib>
</contrib-group>
<aff id="edit1"><addr-line>University of British Columbia, CANADA</addr-line></aff>
<author-notes>
<fn fn-type="conflict" id="coi001">
<p>The authors have read the journal's policy and have the following conflicts: Dr. Muhammad Mamdani has received honoraria from Boehringer Ingelheim, Pfizer, Bristol-Myers Squibb, and Bayer. Dr. Mamdani has served as an Advisory Board member for the following pharmaceutical companies: Astra-Zeneca, Bristol-Meyers Squibb, Eli Lilly and Company, Glaxo Smith Kline, Hoffman La Roche, Novartis, Novo Nordisk, Pfizer. Irfan A. Dhalla serves in a voluntary capacity on the National Advisory Committee on Prescription Drug Misuse, which is organized by the Canadian Centre for Substance Abuse, a non-governmental organization funded by the Canadian federal government. Irfan A. Dhalla also serves in a voluntary capacity on the Board of Directors of Physicians for Responsible Opioid Prescribing.</p>
</fn>
<fn fn-type="con" id="contrib001">
<p>Conceived and designed the experiments: EK TG XC IAD MM DJ. Analyzed the data: XC.</p>
</fn>
<corresp id="cor001">* E-mail: <email xlink:type="simple">david.juurlink@ices.on.ca</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>8</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="collection">
<year>2015</year>
</pub-date>
<volume>10</volume>
<issue>8</issue>
<elocation-id>e0134550</elocation-id>
<history>
<date date-type="received">
<day>7</day>
<month>8</month>
<year>2014</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>7</month>
<year>2015</year>
</date>
</history>
<permissions>
<copyright-year>2015</copyright-year>
<copyright-holder>Kaplovitch et al</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="info:doi/10.1371/journal.pone.0134550" xlink:type="simple"/>
<abstract>
<sec id="sec001">
<title>Background</title>
<p>The use of opioids for noncancer pain is widespread, and more than 16,000 die of opioid-related causes in the United States annually. The patients at greatest risk of death are those receiving high doses of opioids. Whether sex influences the risk of dose escalation or opioid-related mortality is unknown.</p>
</sec>
<sec id="sec002">
<title>Methods and Findings</title>
<p>We conducted a cohort study using healthcare records of 32,499 individuals aged 15 to 64 who commenced chronic opioid therapy for noncancer pain between April 1, 1997 and December 31, 2010 in Ontario, Canada. Patients were followed from their first opioid prescription until discontinuation of therapy, death from any cause or the end of the study period. Among patients receiving chronic opioid therapy, 589 (1.8%) escalated to high dose therapy and n = 59 (0.2%) died of opioid-related causes while on treatment. After multivariable adjustment, men were more likely than women to escalate to high-dose opioid therapy (adjusted hazard ratio 1.44; 95% confidence interval 1.21 to 1.70) and twice as likely to die of opioid-related causes (adjusted hazard ratio 2.04; 95% confidence interval 1.18 to 3.53). These associations were maintained in a secondary analysis of 285,520 individuals receiving any opioid regardless of the duration of therapy.</p>
</sec>
<sec id="sec003">
<title>Conclusions</title>
<p>Men are at higher risk than women for escalation to high-dose opioid therapy and death from opioid-related causes. Both outcomes were more common than anticipated.</p>
</sec>
</abstract>
<funding-group>
<funding-statement>This study was supported by a grant from the Ontario Ministry of Health and Long-Term Care (MOHLTC) Drug Innovation Fund and the Institute for Clinical Evaluative Sciences (ICES), a non-profit research institute sponsored by the Ontario MOHLTC. The opinions, results and conclusions reported in this paper are those of the authors and are independent from the funding sources. No endorsement by ICES or the Ontario MOHLTC is intended or should be inferred. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="3"/>
<page-count count="11"/>
</counts>
<custom-meta-group>
<custom-meta id="data-availability" xlink:type="simple">
<meta-name>Data Availability</meta-name>
<meta-value>Data cannot be made publicly available due to the ethical and legal requirements implemented by the Institute for Clinical Evaluative Sciences and Ontario's Information and Privacy Commissioner (IPC). Public availability of ICES data would compromise patient privacy. More information can be found here: <ext-link ext-link-type="uri" xlink:href="http://www.ices.on.ca/Data-and-Privacy/Privacy%20at%20ICES" xlink:type="simple">http://www.ices.on.ca/Data-and-Privacy/Privacy%20at%20ICES</ext-link>. Requests to access data may be submitted to Data &amp; Analytic Services at <email xlink:type="simple">das@ices.on.ca</email> or via the following link <ext-link ext-link-type="uri" xlink:href="http://www.ices.on.ca/Data-Services" xlink:type="simple">http://www.ices.on.ca/Data-Services</ext-link>.</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="sec004" sec-type="intro">
<title>Introduction</title>
<p>Over the past twenty years, the use of opioids for chronic noncancer pain has increased markedly in North America [<xref rid="pone.0134550.ref001" ref-type="bibr">1</xref>,<xref rid="pone.0134550.ref002" ref-type="bibr">2</xref>,<xref rid="pone.0134550.ref003" ref-type="bibr">3</xref>,<xref rid="pone.0134550.ref004" ref-type="bibr">4</xref>,<xref rid="pone.0134550.ref005" ref-type="bibr">5</xref>], with patients often receiving doses far in excess of those originally suggested for treatment [<xref rid="pone.0134550.ref006" ref-type="bibr">6</xref>]. The increasing use of opioids has been paralleled by a dramatic rise in opioid-related mortality.[<xref rid="pone.0134550.ref007" ref-type="bibr">7</xref>,<xref rid="pone.0134550.ref008" ref-type="bibr">8</xref>,<xref rid="pone.0134550.ref009" ref-type="bibr">9</xref>] More than 16,000 people now die annually of opioid-related causes in the United States alone, and similar trends have emerged in Canada, Australia, and Europe [<xref rid="pone.0134550.ref010" ref-type="bibr">10</xref>]. Many of these deaths could be avoided by more judicious prescribing of opioids in patients with chronic pain [<xref rid="pone.0134550.ref010" ref-type="bibr">10</xref>,<xref rid="pone.0134550.ref011" ref-type="bibr">11</xref>,<xref rid="pone.0134550.ref012" ref-type="bibr">12</xref>].</p>
<p>To minimize the risk of addiction and its attendant harms, clinical practice guidelines advocate various decision tools to stratify individual risk before initiating opioid therapy [<xref rid="pone.0134550.ref005" ref-type="bibr">5</xref>,<xref rid="pone.0134550.ref013" ref-type="bibr">13</xref>]. However, subjectivity remains in many aspects of opioid therapy [<xref rid="pone.0134550.ref005" ref-type="bibr">5</xref>,<xref rid="pone.0134550.ref013" ref-type="bibr">13</xref>,<xref rid="pone.0134550.ref014" ref-type="bibr">14</xref>]. This is supported by the observation that social and demographic factors, such as age, race and socioeconomic status, influence opioid prescribing patterns [<xref rid="pone.0134550.ref015" ref-type="bibr">15</xref>,<xref rid="pone.0134550.ref016" ref-type="bibr">16</xref>,<xref rid="pone.0134550.ref017" ref-type="bibr">17</xref>].</p>
<p>Few studies have explored the role of biological sex as it pertains to the safe prescribing of opioids in patients with chronic pain. There are several reasons why opioids might be prescribed differently to men and women, including differences in pain perception [<xref rid="pone.0134550.ref018" ref-type="bibr">18</xref>] and drug-seeking behaviour[<xref rid="pone.0134550.ref019" ref-type="bibr">19</xref>], as well as physician bias in the assessment of pain and formulation of a treatment plan [<xref rid="pone.0134550.ref020" ref-type="bibr">20</xref>]. Previous research suggests that women are more likely to be prescribed opioids, but men tend to receive more potent agents [<xref rid="pone.0134550.ref001" ref-type="bibr">1</xref>,<xref rid="pone.0134550.ref015" ref-type="bibr">15</xref>,<xref rid="pone.0134550.ref021" ref-type="bibr">21</xref>,<xref rid="pone.0134550.ref022" ref-type="bibr">22</xref>]. However, the majority of these studies are descriptive and focus only on initial prescriptions. [<xref rid="pone.0134550.ref001" ref-type="bibr">1</xref>,<xref rid="pone.0134550.ref015" ref-type="bibr">15</xref>,<xref rid="pone.0134550.ref021" ref-type="bibr">21</xref>,<xref rid="pone.0134550.ref022" ref-type="bibr">22</xref>] One small cohort study [<xref rid="pone.0134550.ref023" ref-type="bibr">23</xref>] examined the relationship between sex and dose escalation but had limited statistical power and did not examine mortality.</p>
<p>We sought to formally explore the relationship between sex, dose escalation and death due to overdose in a large cohort of patients receiving chronic opioid therapy for noncancer pain.</p>
</sec>
<sec id="sec005" sec-type="materials|methods">
<title>Methods</title>
<sec id="sec006">
<title>Setting</title>
<p>We performed a population-based cohort study among Ontarians between 15 and 64 years of age who received publicly funded opioid prescriptions between April 1<sup>st</sup> 1997 and December 31<sup>st</sup> 2010. These individuals have universal access to prescription drug coverage, hospital care and physicians’ services. All analyses were performed at the Institute for Clinical Evaluative Sciences (ICES), where various healthcare administrative databases are linked and analyzed in an anonymous fashion using encrypted, 10-digit health card numbers. This project was approved by the Research Ethics Board of Sunnybrook Health Sciences Centre, Toronto, Canada.</p>
</sec>
<sec id="sec007">
<title>Data Sources</title>
<p>We identified prescription records using the Ontario Drug Benefit Database, which contains comprehensive and highly accurate data of prescriptions dispensed to Ontarians eligible for public drug coverage [<xref rid="pone.0134550.ref024" ref-type="bibr">24</xref>]. Eligibility criteria for drug coverage among people younger than 65 years include disability, receipt of social assistance, high prescription drug costs relative to net household income, receipt of home care services and residence in a long-term care facility. We obtained demographic information from the Registered Persons Database, which contains one record for every Ontarian issued a health card number. We used the Ontario Cancer Registry to identify any previous diagnosis of cancer[<xref rid="pone.0134550.ref025" ref-type="bibr">25</xref>]. We used the Ontario Diabetes Database to ascertain the presence of diabetes [<xref rid="pone.0134550.ref026" ref-type="bibr">26</xref>], for inclusion in the Charlson Comorbidity Index. Inpatient hospitalization records were identified from the Canadian Institute for Health Information’s Discharge Abstract Database, and physician billing claims were obtained from the Ontario Health Insurance Plan Database.</p>
<p>Opioid-related deaths were identified by manual abstraction of records from the Office of the Chief Coroner for Ontario, as done previously [<xref rid="pone.0134550.ref007" ref-type="bibr">7</xref>,<xref rid="pone.0134550.ref027" ref-type="bibr">27</xref>]. These data are complete until December 31, 2011. By law, all deaths that do not arise from natural causes or are sudden and unexpected must be reported to the coroner. For this study, opioid-related deaths were defined as those in which the coroner’s investigation concluded so, based either on postmortem toxicology revealing opioid concentrations sufficiently high to cause death, or the coroner’s determination that a combination of drugs, including at least one opioid present at a clinically significant concentration, resulted in death. Deaths were considered unrelated to opioid use if another drug was present at a concentration high enough to cause death, even when one or more opioids were detected at levels that could be associated with therapeutic use[<xref rid="pone.0134550.ref007" ref-type="bibr">7</xref>].</p>
</sec>
<sec id="sec008">
<title>Study Design</title>
<p>We identified cohorts of men and women who commenced treatment with an opioid, based upon prescriptions for oral codeine, morphine, oxycodone, hydromorphone or transdermal fentanyl. We restricted the analysis to patients newly treated with opioids by excluding those with any other opioid prescription in the preceding year. We did not include prescriptions for hydrocodone, which is available in Canada only as a liquid antitussive, or for methadone, which is almost exclusively prescribed for opioid addiction rather than for pain in Ontario.</p>
<p>Each patient’s observation began on the date of their first opioid prescription. Patients were followed from their first opioid prescription until discontinuation of opioid treatment (defined as an interval of more than 120 days between successive prescriptions), death from any cause, or the end of study period (December 31<sup>st</sup>, 2010), whichever occurred first. The maximum duration of publically-funded prescriptions in Ontario is 100 days. For patients with more than one eligible cohort entry date (by virtue of intervals greater than 120 days between successive prescriptions), we studied only the first course of therapy. To restrict the analysis to patients with noncancer pain, we excluded from the analysis individuals with any evidence of cancer prior to cohort entry, as well as patients with any physician claim or inpatient hospitalization for palliative care services in the 180 days preceding cohort entry.</p>
<p>In the primary analysis we studied patients receiving chronic opioid therapy, which we defined as three or more months of opioid treatment. These patients had one or more opioid prescriptions at least 91 days following their first prescription, with no interval of 120 days or more between successive prescriptions. In a secondary analysis, we examined all patients who commenced opioid therapy, regardless of the overall duration of treatment. While most such prescriptions represent short-term treatment for pain and do not progress to chronic therapy, we conducted this analysis because dose escalation and opioid-related death do sometimes occur in the first 3 months of therapy.</p>
<p>The primary outcome was defined as escalation to a daily opioid dose of more than 200 milligrams of morphine or equivalent. We chose this dose because it has been identified as a threshold in both American [<xref rid="pone.0134550.ref005" ref-type="bibr">5</xref>] and Canadian guidelines [<xref rid="pone.0134550.ref013" ref-type="bibr">13</xref>] and because higher doses confer increasing risk of adverse outcomes while lower doses are sufficient for pain control in the vast majority of patients. Our previous work demonstrates that doses exceeding 200 mg of morphine or equivalent increase the risk of motor vehicle collisions [<xref rid="pone.0134550.ref028" ref-type="bibr">28</xref>] and opioid-related mortality [<xref rid="pone.0134550.ref027" ref-type="bibr">27</xref>].</p>
<p>Dose was ascertained as described previously [<xref rid="pone.0134550.ref027" ref-type="bibr">27</xref>,<xref rid="pone.0134550.ref028" ref-type="bibr">28</xref>], incorporating the strength and number of tablets dispensed, the days supplied by the prescription and the potency of the opioid relative to morphine, defined using equivalence ratios published by the National Opioid Use Guideline Group [<xref rid="pone.0134550.ref013" ref-type="bibr">13</xref>]. The secondary outcome examined death from opioid-related causes, defined using provincial coroner’s data.</p>
</sec>
<sec id="sec009">
<title>Statistical Analysis</title>
<p>We used standardized differences to compare baseline characteristics of men and women who commenced opioid therapy. Unlike significance testing, standardized differences are not influenced by sample size; values lower than 0.10 suggest negligible differences in the mean value of the characteristic between groups [<xref rid="pone.0134550.ref029" ref-type="bibr">29</xref>]. We therefore used Cox proportional hazards regression to estimate the risks of dose escalation and opioid-related mortality for men relative to women, after adjusting for all variables with a standardized difference greater or equal to 0.10, including age, documented alcohol-related disorder in the preceding 5 years, number of distinct non-opioid medications prescribed in the past 6 months and use of serotonergic antidepressants. We also adjusted for receipt of benzodiazepines, antipsychotic drugs and other psychotropic drugs or central nervous system (CNS) depressants in the preceding 180 days, as well as comorbidity defined using the Charlson comorbidity index [<xref rid="pone.0134550.ref030" ref-type="bibr">30</xref>].</p>
<p>The proportional hazards assumption was verified using a time-dependent exposure covariate and by inspection of log-log survival curves. We constructed Kaplan-Meier curves to characterize the incidence of both outcomes over time. All analyses were performed with SAS version 9.2 (SAS institute Cary N.C.) and used a two-tailed type I error rate of 0.05 as the threshold for statistical significance.</p>
</sec>
</sec>
<sec id="sec010" sec-type="results">
<title>Results</title>
<p>During the 13-year study period, we identified 285,520 individuals who commenced treatment with an opioid. Within this cohort, 32,449 (11.4%) continued opioid therapy for 3 months or more, including 13,640 (42.0%) men and 18,809 (58.0%) women. Overall, 589 patients (1.8%) escalated to high dose therapy over a median follow-up of 186 days (interquartile range 117 to 442 days), while 59 patients (0.2%) died of opioid-related causes at a median of 2.6 years (interquartile range 1.1 to 5.2 years) from their first opioid prescription.</p>
<p>Compared to women, men receiving opioids were slightly older, more likely to have a documented alcohol use disorder, and less likely to receive antidepressants (<xref rid="pone.0134550.t001" ref-type="table">Table 1</xref>). Men and women were otherwise similar with regard to demographics, comorbidity measures, physician utilization and medication use at baseline.</p>
<table-wrap id="pone.0134550.t001" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0134550.t001</object-id>
<label>Table 1</label> <caption><title>Baseline characteristics of men and women receiving chronic opioid therapy.</title></caption>
<alternatives>
<graphic id="pone.0134550.t001g" position="float" mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0134550.t001" xlink:type="simple"/>
<table>
<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"/>
</colgroup>
<thead>
<tr>
<th colspan="2" align="center" rowspan="1">Characteristic</th>
<th align="center" rowspan="1" colspan="1">Men N = 13,640</th>
<th align="center" rowspan="1" colspan="1">Women N = 18,809</th>
<th align="center" rowspan="1" colspan="1">Standardized Difference</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Age (median, IQR)</td>
<td align="left" rowspan="1" colspan="1"/>
<td align="center" rowspan="1" colspan="1">47 (38–56)</td>
<td align="center" rowspan="1" colspan="1">44 (33–55)</td>
<td align="char" char="." rowspan="1" colspan="1">0.23</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Documented alcohol use disorder (5 years)</td>
<td align="left" rowspan="1" colspan="1"/>
<td align="center" rowspan="1" colspan="1">2,262 (16.6%)</td>
<td align="center" rowspan="1" colspan="1">1,243 (6.6%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.33</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Past medication use (180 days)</td>
<td align="left" rowspan="1" colspan="1"/>
<td align="center" rowspan="1" colspan="1"/>
<td align="center" rowspan="1" colspan="1"/>
<td align="center" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">SSRIs/SNRIs</td>
<td align="center" rowspan="1" colspan="1">2,531 (18.6%)</td>
<td align="center" rowspan="1" colspan="1">4,592 (24.4%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.14</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">Other antidepressants</td>
<td align="center" rowspan="1" colspan="1">1,788 (13.1%)</td>
<td align="center" rowspan="1" colspan="1">2,868 (15.2%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.06</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">Benzodiazepines</td>
<td align="center" rowspan="1" colspan="1">3,440 (25.2%)</td>
<td align="center" rowspan="1" colspan="1">4,925 (26.2%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.02</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">Antipsychotics</td>
<td align="center" rowspan="1" colspan="1">1,573 (11.5%)</td>
<td align="center" rowspan="1" colspan="1">1,643 (8.7%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.09</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">Other psychotropic drugs &amp; CNS depressants</td>
<td align="center" rowspan="1" colspan="1">432 (3.2%)</td>
<td align="center" rowspan="1" colspan="1">627 (3.3%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.01</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Charlson Score</td>
<td align="left" rowspan="1" colspan="1"/>
<td align="center" rowspan="1" colspan="1"/>
<td align="center" rowspan="1" colspan="1"/>
<td align="center" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">No hospitalizations</td>
<td align="center" rowspan="1" colspan="1">8,011 (58.7%)</td>
<td align="center" rowspan="1" colspan="1">9,808 (52.1%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.08</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">0</td>
<td align="center" rowspan="1" colspan="1">2,781 (20.4%)</td>
<td align="center" rowspan="1" colspan="1">6,491 (34.5%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.08</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">1,256 (9.2%)</td>
<td align="center" rowspan="1" colspan="1">1,481 (7.9%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.08</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">≥2</td>
<td align="center" rowspan="1" colspan="1">1,592 (11.7%)</td>
<td align="center" rowspan="1" colspan="1">1,029 (5.5%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.08</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Physician visits in past year (median IQR)</td>
<td align="left" rowspan="1" colspan="1"/>
<td align="center" rowspan="1" colspan="1">15 (8–27)</td>
<td align="center" rowspan="1" colspan="1">16 (9–28)</td>
<td align="char" char="." rowspan="1" colspan="1">0.01</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Median number of distinct drugs used in past 6 months (IQR)</td>
<td align="left" rowspan="1" colspan="1"/>
<td align="center" rowspan="1" colspan="1">4 (2–8)</td>
<td align="center" rowspan="1" colspan="1">5 (3–8)</td>
<td align="char" char="." rowspan="1" colspan="1">0.14</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Neighborhood income quintile</td>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">5,782 (42.4%)</td>
<td align="center" rowspan="1" colspan="1">8,312 (44.2%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.06</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="center" rowspan="1" colspan="1">3,086 (22.6%)</td>
<td align="center" rowspan="1" colspan="1">4,355 (23.2%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.06</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="center" rowspan="1" colspan="1">2,003 (14.7%)</td>
<td align="center" rowspan="1" colspan="1">2,736 (14.5%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.06</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="center" rowspan="1" colspan="1">1,535 (11.3%)</td>
<td align="center" rowspan="1" colspan="1">1,951 (10.4%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.06</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="center" rowspan="1" colspan="1">1,152 (8.4%)</td>
<td align="center" rowspan="1" colspan="1">1,378 (7.3%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.06</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">Missing information</td>
<td align="center" rowspan="1" colspan="1">82 (0.6%)</td>
<td align="center" rowspan="1" colspan="1">77 (0.4%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.06</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Residence</td>
<td align="left" rowspan="1" colspan="1"/>
<td align="center" rowspan="1" colspan="1"/>
<td align="center" rowspan="1" colspan="1"/>
<td align="center" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">Urban</td>
<td align="center" rowspan="1" colspan="1">11,615 (85.2%)</td>
<td align="center" rowspan="1" colspan="1">16,266 (86.5%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.04</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">Rural</td>
<td align="center" rowspan="1" colspan="1">1,976 (14.5%)</td>
<td align="center" rowspan="1" colspan="1">2,507 (13.3%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.04</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">Missing information</td>
<td align="center" rowspan="1" colspan="1">49 (0.4%)</td>
<td align="center" rowspan="1" colspan="1">36 (0.2%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.04</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Initial opioid</td>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">Immediate release combination opioids</td>
<td align="center" rowspan="1" colspan="1">12,682 (93.0%)</td>
<td align="center" rowspan="1" colspan="1">17,515 (93.1%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.03</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">Immediate release single-agent opioids</td>
<td align="center" rowspan="1" colspan="1">507 (3.7%)</td>
<td align="center" rowspan="1" colspan="1">741 (3.9%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.03</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">Long acting morphine</td>
<td align="center" rowspan="1" colspan="1">186 (1.4%)</td>
<td align="center" rowspan="1" colspan="1">213 (1.1%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.03</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">Long acting oxycodone</td>
<td align="center" rowspan="1" colspan="1">117 (0.9%)</td>
<td align="center" rowspan="1" colspan="1">136 (0.7%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.03</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">Transdermal fentanyl</td>
<td align="center" rowspan="1" colspan="1">67 (0.5%)</td>
<td align="center" rowspan="1" colspan="1">117 (0.6%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.03</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">Long acting hydromorphone</td>
<td align="center" rowspan="1" colspan="1">46 (0.3%)</td>
<td align="center" rowspan="1" colspan="1">55 (0.3%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.03</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">Long acting codeine</td>
<td align="center" rowspan="1" colspan="1">35 (0.3%)</td>
<td align="center" rowspan="1" colspan="1">32 (0.2%)</td>
<td align="char" char="." rowspan="1" colspan="1">0.03</td>
</tr>
</tbody>
</table>
</alternatives>
<table-wrap-foot>
<fn id="t001fn001"><p>Abbreviations; IQR, interquartile range; SSRI, selective serotonin reuptake inhibitor; SNRI, serotonin-norepinephrine reuptake inhibitor; CNS, central nervous system</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Among patients receiving chronic opioid therapy, 319 (2.3%) men and 270 (1.4%) women escalated to high dose therapy, representing roughly 1 out of every 45 men and 1 out of every 70 women in our sample. In total, 37 (0.3%) men and 22 (0.1%) women died of opioid-related causes, representing 1 out of every 350 men and 1 out of every 850 women receiving chronic opioid therapy, respectively. After multivariable adjustment, men were almost 50% more likely to escalate to high-dose opioids (adjusted hazard ratio 1.44; 95% confidence interval, 1.21 to 1.70; <xref rid="pone.0134550.t002" ref-type="table">Table 2</xref> and <xref rid="pone.0134550.g001" ref-type="fig">Fig 1</xref>) and twice as likely to experience an opioid-related death (adjusted hazard ratio 2.04; 95% confidence interval 1.18 to 3.53; <xref rid="pone.0134550.t003" ref-type="table">Table 3</xref> and <xref rid="pone.0134550.g002" ref-type="fig">Fig 2</xref>) compared to women. Those who escalated to high dose opioid therapy were nearly 24 times as likely to die as those who did not escalate (3.1% vs. 0.1%, respectively).</p>
<table-wrap id="pone.0134550.t002" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0134550.t002</object-id>
<label>Table 2</label> <caption><title>Escalation to high dose opioid therapy among men and women<xref rid="t002fn001" ref-type="table-fn"><sup>a</sup></xref>.</title></caption>
<alternatives>
<graphic id="pone.0134550.t002g" position="float" mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0134550.t002" xlink:type="simple"/>
<table>
<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"/>
</colgroup>
<thead>
<tr>
<th align="left" rowspan="1" colspan="1"/>
<th align="center" rowspan="1" colspan="1">Events among men (n, %)</th>
<th align="center" rowspan="1" colspan="1">Events among women (n, %)</th>
<th align="center" rowspan="1" colspan="1">Unadjusted Hazard Ratio (95% CI)<xref rid="t002fn002" ref-type="table-fn"><sup>b</sup></xref></th>
<th align="center" rowspan="1" colspan="1">Adjusted Hazard Ratio (95% CI)<xref rid="t002fn002" ref-type="table-fn"><sup>b</sup></xref></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Patients on Chronic Opioid Therapy</td>
<td align="left" rowspan="1" colspan="1">319 (2.3%)</td>
<td align="center" rowspan="1" colspan="1">270 (1.4%)</td>
<td align="center" rowspan="1" colspan="1">1.40 (1.19 to 1.65)</td>
<td align="center" rowspan="1" colspan="1">1.44 (1.21 to 1.70)<xref rid="t002fn003" ref-type="table-fn"><sup>c</sup></xref>,<xref rid="t002fn004" ref-type="table-fn"><sup>d</sup></xref></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">All Patients Commencing Opioid Therapy</td>
<td align="center" rowspan="1" colspan="1">445 (0.4%)</td>
<td align="center" rowspan="1" colspan="1">369 (0.2%)</td>
<td align="center" rowspan="1" colspan="1">1.50 (1.31 to 1.73)</td>
<td align="center" rowspan="1" colspan="1">1.52 (1.32 to 1.76)<xref rid="t002fn003" ref-type="table-fn"><sup>c</sup></xref></td>
</tr>
</tbody>
</table>
</alternatives>
<table-wrap-foot>
<fn id="t002fn001"><p><sup>a</sup> Follow up censored at 2 years</p></fn>
<fn id="t002fn002"><p><sup>b</sup> Hazard ratios presented for men, with women as reference group</p></fn>
<fn id="t002fn003"><p><sup>c</sup> Adjusted for patient age, history of alcohol abuse or alcohol-related comorbidity, previous SSRI use, previous other antidepressant use, previous benzodiazepine use, previous antipsychotic use, previous use of other CNS depressants, and Charlson score</p></fn>
<fn id="t002fn004"><p><sup>d</sup> Adjusted for median number of distinct non-opioid drugs used in past 6 months</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="pone.0134550.t003" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0134550.t003</object-id>
<label>Table 3</label> <caption><title>Opioid-related death during chronic opioid therapy in men and women.</title></caption>
<alternatives>
<graphic id="pone.0134550.t003g" position="float" mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0134550.t003" xlink:type="simple"/>
<table>
<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"/>
</colgroup>
<thead>
<tr>
<th align="left" rowspan="1" colspan="1"/>
<th align="center" rowspan="1" colspan="1">Events in Men (n, %)</th>
<th align="center" rowspan="1" colspan="1">Events in Women (n, %)</th>
<th align="center" rowspan="1" colspan="1">Unadjusted Hazard Ratio (95% CI)<xref rid="t003fn001" ref-type="table-fn"><sup>a</sup></xref></th>
<th align="center" rowspan="1" colspan="1">Adjusted Hazard Ratio (95% CI)<sup>s</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Patients on Chronic Opioid Therapy</td>
<td align="center" rowspan="1" colspan="1">37 (0.3%)</td>
<td align="center" rowspan="1" colspan="1">22 (0.1%)</td>
<td align="center" rowspan="1" colspan="1">1.96 (1.15 to 3.32)</td>
<td align="center" rowspan="1" colspan="1">2.04 (1.18 to 3.53)<xref rid="t003fn002" ref-type="table-fn"><sup>b</sup></xref>,<xref rid="t003fn003" ref-type="table-fn"><sup>c</sup></xref></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">All Patients Commencing Opioid Therapy</td>
<td align="center" rowspan="1" colspan="1">56 (0.1%)</td>
<td align="center" rowspan="1" colspan="1">35 (0.03%)</td>
<td align="center" rowspan="1" colspan="1">2.10 (1.38 to 3.21)</td>
<td align="center" rowspan="1" colspan="1">2.18 (1.40 to 3.38)<xref rid="t003fn002" ref-type="table-fn"><sup>b</sup></xref></td>
</tr>
</tbody>
</table>
</alternatives>
<table-wrap-foot>
<fn id="t003fn001"><p><sup>a</sup> Hazard ratios presented for men, with women as reference group</p></fn>
<fn id="t003fn002"><p><sup>b</sup> Adjusted for patient age, history of alcohol abuse or alcohol-related comorbidity, previous SSRI use, previous other antidepressant use, previous benzodiazepine use, previous antipsychotic use, previous use of other CNS depressants, and Charlson score</p></fn>
<fn id="t003fn003"><p><sup>c</sup> Adjusted for median number of distinct non-opioid drugs used in past 6 months</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="pone.0134550.g001" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0134550.g001</object-id>
<label>Fig 1</label>
<caption>
<title>Escalation to high dose opioid therapy among men and women.</title>
<p>Kaplan-Meier curves of opioid dose escalation to an average daily dose exceeding 200 mg of morphine (or equivalent) among men and women with at least 91 days of continuous opioid therapy. P values were determined by Cox proportional hazards regression.</p>
</caption>
<graphic mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0134550.g001" position="float" xlink:type="simple"/>
</fig>
<fig id="pone.0134550.g002" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0134550.g002</object-id>
<label>Fig 2</label>
<caption>
<title>Opioid-related death among men and women.</title>
<p>Kaplan-Meier curves of opioid-related mortality among men and women with at least 91 days of continuous opioid therapy. P values were determined by Cox proportional hazards regression.</p>
</caption>
<graphic mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0134550.g002" position="float" xlink:type="simple"/>
</fig>
<p>We found similar results in the analysis of all 285,520 subjects who received any opioid prescription, regardless of the duration of therapy. Overall, 814 patients (0.3%) escalated to high-dose therapy and 91 patients (0.03%) died of opioid overdose. In this analysis, men also faced an increased risk of escalation to high-dose opioid therapy (adjusted hazard ratio 1.52; 95% confidence interval 1.32 to 1.76; <xref rid="pone.0134550.t002" ref-type="table">Table 2</xref>) and opioid-related death (adjusted hazard ratio 2.18; 95% confidence interval 1.40 to 3.38; <xref rid="pone.0134550.t003" ref-type="table">Table 3</xref>) compared to women.</p>
</sec>
<sec id="sec011" sec-type="conclusions">
<title>Discussion</title>
<p>In this population-based cohort study spanning 13 years, we found that men prescribed opioids for chronic noncancer pain were more likely than women to escalate to high-dose therapy and die of opioid overdose, even after adjustment for age, comorbidity, documented alcohol-related disorder and medication use. Moreover, both outcomes were more common than anticipated, with 1 of every 55 patients escalating to high-dose opioid therapy and 1 of every 550 dying of an opioid-related cause.</p>
<p>The importance of these findings is highlighted by the fact that tens of millions of patients worldwide receive chronic opioid therapy each year. Sales of opioids have quadrupled in the last decade[<xref rid="pone.0134550.ref008" ref-type="bibr">8</xref>], and more than 238 million opioid prescriptions were issued in the United States in 2011 alone, making them the third most widely prescribed drug class after lipid-lowering drugs and antidepressants[<xref rid="pone.0134550.ref031" ref-type="bibr">31</xref>].</p>
<p>Determining which patients are at risk of opioid dose escalation, addiction or opioid-related death is challenging, and clinical practice guidelines [<xref rid="pone.0134550.ref005" ref-type="bibr">5</xref>,<xref rid="pone.0134550.ref013" ref-type="bibr">13</xref>] advocate various decision tools to stratify individual risk before initiating or up-titrating opioid therapy. Despite these efforts, opioid deaths have continued to increase [<xref rid="pone.0134550.ref009" ref-type="bibr">9</xref>]. Opioid-related deaths represent more than 40% of all mortality from poisoning [<xref rid="pone.0134550.ref009" ref-type="bibr">9</xref>] and now outnumber deaths from alcoholic liver disease and HIV in North America[<xref rid="pone.0134550.ref010" ref-type="bibr">10</xref>].</p>
<p>Our findings underscore the importance of revisiting the indications for chronic opioid therapy, particularly at high doses. This is especially true in light of the paucity of good evidence regarding the safety and effectiveness of long term opioid therapy [<xref rid="pone.0134550.ref014" ref-type="bibr">14</xref>,<xref rid="pone.0134550.ref032" ref-type="bibr">32</xref>,<xref rid="pone.0134550.ref033" ref-type="bibr">33</xref>], as well as the lack of evidence demonstrating their superiority to other analgesics in treating chronic noncancer pain[<xref rid="pone.0134550.ref014" ref-type="bibr">14</xref>,<xref rid="pone.0134550.ref034" ref-type="bibr">34</xref>]. It is important to recognize that, as our findings indicate, more than 10% of patients treated anew with opioids progress to chronic therapy. Moreover, by identifying males to be at greater risk for escalation and opioid-related mortality, physicians can exercise particular caution when considering opioids for chronic noncancer pain in men.</p>
<p>Ultimately, further studies are required both to elucidate the role of opioids in chronic noncancer pain and to discern which patients can tolerate opioids safely.</p>
<p>Our study represents the first population-based study to document biological sex as a significant predictor of opioid dose escalation and opioid-related death among patients commencing chronic opioid therapy. However, some limitations of our work merit emphasis. The study’s findings derive from subjects receiving publicly funded prescription coverage and may not be generalizable to all patients. However, this is a particularly relevant population because social disadvantage is associated with higher rates of both opioid prescribing and opioid misuse [<xref rid="pone.0134550.ref003" ref-type="bibr">3</xref>,<xref rid="pone.0134550.ref035" ref-type="bibr">35</xref>]. Second, we cannot determine with confidence why men face an increased risk of dose escalation and death during chronic opioid therapy. Although a propensity for high risk behaviours surrounding opioids among men may partly explain our findings [<xref rid="pone.0134550.ref036" ref-type="bibr">36</xref>,<xref rid="pone.0134550.ref037" ref-type="bibr">37</xref>], the explanation is likely complex and multifactorial. Third, the nature of our data makes it difficult to ascertain the appropriateness of diagnoses and treatment as well as adherence to prescribed medication. Similarly, we have no reliable data on recreational drug use, save for alcohol use disorder. Additional research on the role of other illnesses, particularly mental health disorders, is needed to better identify those at particular risk of opioid-related harms. Finally, it merits note that no female deaths occurred in the final 6 years of study. This most likely represents depletion of susceptible individuals [<xref rid="pone.0134550.ref038" ref-type="bibr">38</xref>] and competing mortality from other causes of death.</p>
<p>Importantly, our methods necessarily underestimate both the amount of opioids consumed by patients and the number of deaths occurring during chronic therapy. We have no information about receipt of opioids from other sources, including illicit sources or prescriptions paid in cash or by other insurers. We purposefully excluded patients with long intervals between prescriptions, as well as those who received methadone. Considering the extent of diversion [<xref rid="pone.0134550.ref039" ref-type="bibr">39</xref>] and the high opioid-related mortality attributed to methadone [<xref rid="pone.0134550.ref040" ref-type="bibr">40</xref>], the true risks of opioid therapy are likely greater than our findings suggest.</p>
<p>In summary, in a large population of patients initiating opioid therapy for chronic noncancer pain, we found that men were more likely than women to escalate to high-dose opioid therapy and more than twice as likely to die of an opioid overdose. Moreover, both outcomes were much more common than anticipated. Although our findings underscore the importance of judicious opioid use in both men and women, they suggest that particular vigilance be applied to men, especially as doses begin to escalate.</p>
</sec>
</body>
<back>
<ack>
<p>This study was supported by a grant from the Ontario Ministry of Health and Long-Term Care (MOHLTC) Drug Innovation Fund and the Institute for Clinical Evaluative Sciences (ICES), a non-profit research institute sponsored by the Ontario MOHLTC. The opinions, results and conclusions reported in this paper are those of the authors and are independent from the funding sources. No endorsement by ICES or the Ontario MOHLTC is intended or should be inferred. Dr. Muhammad Mamdani has received honoraria from Boehringer Ingelheim, Pfizer, Bristol-Myers Squibb, and Bayer. All other authors report no conflicts of interest.</p>
<p>Ximena Camacho had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.</p>
<p>We thank Moira Kapral, Andrew Kolodny and Donald Redelmeier for comments on an earlier draft of this manuscript, and Karen Arbour and Jen Levi for assistance with manuscript preparation. This work was presented in part at the European Association of Poison Control Centers and Clinical Toxicologists, Copenhagen, Denmark. May 30<sup>th</sup> 2013.</p>
</ack>
<ref-list>
<title>References</title>
<ref id="pone.0134550.ref001"><label>1</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Gomes</surname> <given-names>T</given-names></name>, <name name-style="western"><surname>Juurlink</surname> <given-names>DN</given-names></name>, <name name-style="western"><surname>Dhalla</surname> <given-names>IA</given-names></name>, <name name-style="western"><surname>Mailis-Gagnon</surname> <given-names>A</given-names></name>, <name name-style="western"><surname>Paterson</surname> <given-names>JM</given-names></name>, <name name-style="western"><surname>Mamdani</surname> <given-names>MM</given-names></name>. <article-title>Trends in opioid use and dosing among socio-economically disadvantaged patients</article-title>. <source>Open Med</source> <year>2011</year>;<volume>5</volume>:<fpage>e13</fpage>–<lpage>e22</lpage>. <object-id pub-id-type="pmid">22046214</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref002"><label>2</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Caudill-Slosberg</surname> <given-names>MA</given-names></name>, <name name-style="western"><surname>Schwartz</surname> <given-names>LM</given-names></name>, <name name-style="western"><surname>Woloshin</surname> <given-names>S</given-names></name>. <article-title>Office visits and analgesic prescriptions for musculoskeletal pain in US: 1980 vs. 2000</article-title>. <source>Pain</source> <year>2004</year>;<volume>109</volume>:<fpage>514</fpage>–<lpage>9</lpage>. <object-id pub-id-type="pmid">15157714</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref003"><label>3</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Sullivan</surname> <given-names>MD</given-names></name>, <name name-style="western"><surname>Edlund</surname> <given-names>MJ</given-names></name>, <name name-style="western"><surname>Fan</surname> <given-names>MY</given-names></name>, <name name-style="western"><surname>Devries</surname> <given-names>A</given-names></name>, <name name-style="western"><surname>Brennan Braden</surname> <given-names>J</given-names></name>, <name name-style="western"><surname>Martin</surname> <given-names>BC</given-names></name>. <article-title>Trends in use of opioids for non-cancer pain conditions 2000–2005 in commercial and medicaid insurance plans: The TROUP study</article-title>. <source>Pain</source> <year>2008</year>;<volume>138</volume>:<fpage>440</fpage>–<lpage>9</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.pain.2008.04.027" xlink:type="simple">10.1016/j.pain.2008.04.027</ext-link></comment> <object-id pub-id-type="pmid">18547726</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref004"><label>4</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Boudreau</surname> <given-names>D</given-names></name>, <name name-style="western"><surname>Von Korff</surname> <given-names>M</given-names></name>, <name name-style="western"><surname>Rutter</surname> <given-names>CM</given-names></name>, <name name-style="western"><surname>Saunders</surname> <given-names>K</given-names></name>, <name name-style="western"><surname>Ray</surname> <given-names>GT</given-names></name>, <name name-style="western"><surname>Sullivan</surname> <given-names>MD</given-names></name>, <etal>et al</etal>. <article-title>Trends in long-term opioid therapy for chronic non-cancer pain</article-title>. <source>Pharmacoepidemiol Drug Saf</source> <year>2009</year>;<volume>18</volume>:<fpage>1166</fpage>–<lpage>75</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1002/pds.1833" xlink:type="simple">10.1002/pds.1833</ext-link></comment> <object-id pub-id-type="pmid">19718704</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref005"><label>5</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Chou</surname> <given-names>R</given-names></name>, <name name-style="western"><surname>Fanciullo</surname> <given-names>GJ</given-names></name>, <name name-style="western"><surname>Fine</surname> <given-names>PG</given-names></name>, <name name-style="western"><surname>Adler</surname> <given-names>JA</given-names></name>, <name name-style="western"><surname>Ballantyne</surname> <given-names>JC</given-names></name>, <name name-style="western"><surname>Davies</surname> <given-names>P</given-names></name>, <etal>et al</etal>. <article-title>Clinical guidelines for the use of chronic opioid therapy in chronic noncancer pain</article-title>. <source>J Pain</source> <year>2009</year>;<volume>10</volume>:<fpage>113</fpage>–<lpage>30</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.jpain.2008.10.008" xlink:type="simple">10.1016/j.jpain.2008.10.008</ext-link></comment> <object-id pub-id-type="pmid">19187889</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref006"><label>6</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Portenoy</surname> <given-names>RK</given-names></name>, <name name-style="western"><surname>Foley</surname> <given-names>KM</given-names></name>. <article-title>Chronic use of opioid analgesics in non-malignant pain: report of 38 cases</article-title>. <source>Pain</source> <year>1986</year>;<volume>25</volume>:<fpage>171</fpage>–<lpage>86</lpage>. <object-id pub-id-type="pmid">2873550</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref007"><label>7</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Dhalla</surname> <given-names>IA</given-names></name>, <name name-style="western"><surname>Mamdani</surname> <given-names>MM</given-names></name>, <name name-style="western"><surname>Sivilotti</surname> <given-names>ML</given-names></name>, <name name-style="western"><surname>Kopp</surname> <given-names>A</given-names></name>, <name name-style="western"><surname>Qureshi</surname> <given-names>O</given-names></name>, <name name-style="western"><surname>Juurlink</surname> <given-names>DN</given-names></name>. <article-title>Prescribing of opioid analgesics and related mortality before and after the introduction of long-acting oxycodone</article-title>. <source>CMAJ</source> <year>2009</year>;<volume>181</volume>:<fpage>891</fpage>–<lpage>6</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1503/cmaj.090784" xlink:type="simple">10.1503/cmaj.090784</ext-link></comment> <object-id pub-id-type="pmid">19969578</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref008"><label>8</label><mixed-citation publication-type="journal" xlink:type="simple"><collab xlink:type="simple">Centers for Disease Control and Prevention (CDC)</collab>. <article-title>Vital signs: Overdoses of prescription opioid pain relievers---united states, 1999–2008</article-title>. <source>MMWR Morb Mortal Wkly Rep</source>. <year>2011</year>;<volume>60</volume>:<fpage>1487</fpage>–<lpage>92</lpage>. <object-id pub-id-type="pmid">22048730</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref009"><label>9</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Warner</surname> <given-names>M</given-names></name>, <name name-style="western"><surname>Chen</surname> <given-names>LH</given-names></name>, <name name-style="western"><surname>Makuc</surname> <given-names>DM</given-names></name>, <name name-style="western"><surname>Anderson</surname> <given-names>RN</given-names></name>, <name name-style="western"><surname>Minino</surname> <given-names>AM</given-names></name>. <article-title>Drug poisoning deaths in the united states, 1980–2008</article-title>. <source>NCHS Data Brief</source> <year>2011</year>;<volume>81</volume>:<fpage>1</fpage>–<lpage>8</lpage>. <object-id pub-id-type="pmid">22617462</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref010"><label>10</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Dhalla</surname> <given-names>IA</given-names></name>, <name name-style="western"><surname>Persaud</surname> <given-names>N</given-names></name>, <name name-style="western"><surname>Juurlink</surname> <given-names>DN</given-names></name>. <article-title>Facing up to the prescription opioid crisis</article-title>. <source>BMJ</source> <year>2011</year>;<volume>343</volume>:<fpage>d5142</fpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1136/bmj.d5142" xlink:type="simple">10.1136/bmj.d5142</ext-link></comment> <object-id pub-id-type="pmid">21862533</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref011"><label>11</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Von</surname> <given-names>KM</given-names></name>, <name name-style="western"><surname>Kolodny</surname> <given-names>A</given-names></name>, <name name-style="western"><surname>Deyo</surname> <given-names>RA</given-names></name>, <name name-style="western"><surname>Chou</surname> <given-names>R</given-names></name>. <article-title>Long-term opioid therapy reconsidered</article-title>. <source>Ann Intern Med</source> <year>2011</year>;<volume>155</volume>:<fpage>325</fpage>–<lpage>8</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.7326/0003-4819-155-5-201109060-00011" xlink:type="simple">10.7326/0003-4819-155-5-201109060-00011</ext-link></comment> <object-id pub-id-type="pmid">21893626</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref012"><label>12</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Nelson</surname> <given-names>LS</given-names></name>, <name name-style="western"><surname>Perrone</surname> <given-names>J</given-names></name>. <article-title>Curbing the opioid epidemic in the United States: the risk evaluation and mitigation strategy (REMS)</article-title>. <source>JAMA</source> <year>2012</year>;<volume>308</volume>:<fpage>457</fpage>–<lpage>8</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1001/jama.2012.8165" xlink:type="simple">10.1001/jama.2012.8165</ext-link></comment> <object-id pub-id-type="pmid">22851109</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref013"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">National Opioid Use Guideline Group (NOUGG). Canadian Guideline for Safe and Effective Use of Opioids for Chronic Non-Cancer Pain. 2010 Available: <ext-link ext-link-type="uri" xlink:href="http://nationalpaincentre.mcmaster.ca/opioid/" xlink:type="simple">http://nationalpaincentre.mcmaster.ca/opioid/</ext-link>. Accessed 28 July 2013.</mixed-citation></ref>
<ref id="pone.0134550.ref014"><label>14</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Chou</surname> <given-names>R</given-names></name>, <name name-style="western"><surname>Ballantyne</surname> <given-names>JC</given-names></name>, <name name-style="western"><surname>Fanciullo</surname> <given-names>GJ</given-names></name>, <name name-style="western"><surname>Fine</surname> <given-names>PG</given-names></name>, <name name-style="western"><surname>Miaskowski</surname> <given-names>C</given-names></name>. <article-title>Research gaps on use of opioids for chronic noncancer pain: findings from a review of the evidence for an American Pain Society and American Academy of Pain Medicine clinical practice guideline</article-title>. <source>J Pain</source> <year>2009</year>;<volume>10</volume>:<fpage>147</fpage>–<lpage>59</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.jpain.2008.10.007" xlink:type="simple">10.1016/j.jpain.2008.10.007</ext-link></comment> <object-id pub-id-type="pmid">19187891</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref015"><label>15</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Wisniewski</surname> <given-names>AM</given-names></name>, <name name-style="western"><surname>Purdy</surname> <given-names>CH</given-names></name>, <name name-style="western"><surname>Blondell</surname> <given-names>RD</given-names></name>. <article-title>The epidemiologic association between opioid prescribing, non-medical use, and emergency department visits</article-title>. <source>J Addict Dis</source> <year>2008</year>;<volume>27</volume>:<fpage>1</fpage>–<lpage>11</lpage>.</mixed-citation></ref>
<ref id="pone.0134550.ref016"><label>16</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Joynt</surname> <given-names>M</given-names></name>, <name name-style="western"><surname>Train</surname> <given-names>MK</given-names></name>, <name name-style="western"><surname>Robbins</surname> <given-names>BW</given-names></name>, <name name-style="western"><surname>Halterman</surname> <given-names>JS</given-names></name>, <name name-style="western"><surname>Caiola</surname> <given-names>E</given-names></name>, <name name-style="western"><surname>Fortuna</surname> <given-names>RJ</given-names></name>. <article-title>The Impact of Neighborhood Socioeconomic Status and Race on the Prescribing of Opioids in Emergency Departments Throughout the United States</article-title>. <source>J Gen Intern Med</source> <year>2013</year>. Epub ahead of print 2013 June 25.</mixed-citation></ref>
<ref id="pone.0134550.ref017"><label>17</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Pletcher</surname> <given-names>MJ</given-names></name>, <name name-style="western"><surname>Kertesz</surname> <given-names>SG</given-names></name>, <name name-style="western"><surname>Kohn</surname> <given-names>MA</given-names></name>, <name name-style="western"><surname>Gonzales</surname> <given-names>R</given-names></name>. <article-title>Trends in opioid prescribing by race/ethnicity for patients seeking care in US emergency departments</article-title>. <source>JAMA</source> <year>2008</year> <day>2</day>;<volume>299</volume>:<fpage>70</fpage>–<lpage>8</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1001/jama.2007.64" xlink:type="simple">10.1001/jama.2007.64</ext-link></comment> <object-id pub-id-type="pmid">18167408</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref018"><label>18</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Fillingim</surname> <given-names>RB</given-names></name>, <name name-style="western"><surname>King</surname> <given-names>CD</given-names></name>, <name name-style="western"><surname>Ribeiro-Dasilva</surname> <given-names>MC</given-names></name>, <name name-style="western"><surname>Rahim-Williams</surname> <given-names>B</given-names></name>, <name name-style="western"><surname>Riley</surname> <given-names>JL</given-names> <suffix>3</suffix></name>. <article-title>Sex, gender, and pain: a review of recent clinical and experimental findings</article-title>. <source>J Pain</source> <year>2009</year>;<volume>10</volume>:<fpage>447</fpage>–<lpage>85</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.jpain.2008.12.001" xlink:type="simple">10.1016/j.jpain.2008.12.001</ext-link></comment> <object-id pub-id-type="pmid">19411059</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref019"><label>19</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Back</surname> <given-names>SE</given-names></name>, <name name-style="western"><surname>Payne</surname> <given-names>RL</given-names></name>, <name name-style="western"><surname>Simpson</surname> <given-names>AN</given-names></name>, <name name-style="western"><surname>Brady</surname> <given-names>KT</given-names></name>. <article-title>Gender and prescription opioids: findings from the National Survey on Drug Use and Health</article-title>. <source>Addict Behav</source> <year>2010</year>;<volume>35</volume>:<fpage>1001</fpage>–<lpage>7</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.addbeh.2010.06.018" xlink:type="simple">10.1016/j.addbeh.2010.06.018</ext-link></comment> <object-id pub-id-type="pmid">20598809</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref020"><label>20</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Green</surname> <given-names>CR</given-names></name>, <name name-style="western"><surname>Wheeler</surname> <given-names>JR</given-names></name>, <name name-style="western"><surname>LaPorte</surname> <given-names>F</given-names></name>. <article-title>Clinical decision making in pain management: Contributions of physician and patient characteristics to variations in practice</article-title>. <source>J Pain</source> <year>2003</year>;<volume>4</volume>:<fpage>29</fpage>–<lpage>39</lpage>. <object-id pub-id-type="pmid">14622725</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref021"><label>21</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Sadowski</surname> <given-names>CA</given-names></name>, <name name-style="western"><surname>Carrie</surname> <given-names>AG</given-names></name>, <name name-style="western"><surname>Grymonpre</surname> <given-names>RE</given-names></name>, <name name-style="western"><surname>Metge</surname> <given-names>CJ</given-names></name>, <name name-style="western"><surname>St John</surname> <given-names>P</given-names></name>. <article-title>Access and intensity of use of prescription analgesics among older Manitobans</article-title>. <source>Can J Clin Pharmacol</source> <year>2009</year>;<volume>16</volume>:<fpage>e322</fpage>–<lpage>e330</lpage>. <object-id pub-id-type="pmid">19483264</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref022"><label>22</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Campbell</surname> <given-names>CI</given-names></name>, <name name-style="western"><surname>Weisner</surname> <given-names>C</given-names></name>, <name name-style="western"><surname>Leresche</surname> <given-names>L</given-names></name>, <name name-style="western"><surname>Ray</surname> <given-names>GT</given-names></name>, <name name-style="western"><surname>Saunders</surname> <given-names>K</given-names></name>, <name name-style="western"><surname>Sullivan</surname> <given-names>MD</given-names></name>, <etal>et al</etal>. <article-title>Age and gender trends in long-term opioid analgesic use for noncancer pain</article-title>. <source>Am J Public Health</source> <year>2010</year>;<volume>100</volume>:<fpage>2541</fpage>–<lpage>7</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.2105/AJPH.2009.180646" xlink:type="simple">10.2105/AJPH.2009.180646</ext-link></comment> <object-id pub-id-type="pmid">20724688</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref023"><label>23</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Han</surname> <given-names>H</given-names></name>, <name name-style="western"><surname>Kass</surname> <given-names>PH</given-names></name>, <name name-style="western"><surname>Wilsey</surname> <given-names>BL</given-names></name>, <name name-style="western"><surname>Li</surname> <given-names>CS</given-names></name>. <article-title>Age, gender, and earlier opioid requirement associations with the rate of dose escalation in long-term opioid therapy</article-title>. <source>J. Opioid Manag</source> <year>2013</year>;<volume>9</volume>:<fpage>129</fpage>–<lpage>38</lpage> <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.5055/jom.2012.0154" xlink:type="simple">10.5055/jom.2012.0154</ext-link></comment> <object-id pub-id-type="pmid">23709322</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref024"><label>24</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Levy</surname> <given-names>AR</given-names></name>, <name name-style="western"><surname>O'Brien</surname> <given-names>BJ</given-names></name>, <name name-style="western"><surname>Sellors</surname> <given-names>C</given-names></name>, <name name-style="western"><surname>Grootendorst</surname> <given-names>P</given-names></name>, <name name-style="western"><surname>Willison</surname> <given-names>D</given-names></name>. <article-title>Coding accuracy of administrative drug claims in the Ontario Drug Benefit database</article-title>. <source>Can J Clin Pharmacol</source> <year>2003</year>;<volume>10</volume>:<fpage>67</fpage>–<lpage>71</lpage>. <object-id pub-id-type="pmid">12879144</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref025"><label>25</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Hall</surname> <given-names>S</given-names></name>, <name name-style="western"><surname>Schulze</surname> <given-names>K</given-names></name>, <name name-style="western"><surname>Groome</surname> <given-names>P</given-names></name>, <name name-style="western"><surname>Mackillop</surname> <given-names>W</given-names></name>, <name name-style="western"><surname>Holowaty</surname> <given-names>E</given-names></name>. <article-title>Using cancer registry data for survival studies: the example of the Ontario Cancer Registry</article-title>. <source>J Clin Epidemiol</source> <year>2006</year>;<volume>59</volume>:<fpage>67</fpage>–<lpage>76</lpage>. <object-id pub-id-type="pmid">16360563</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref026"><label>26</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Hux</surname> <given-names>JE</given-names></name>, <name name-style="western"><surname>Ivis</surname> <given-names>F</given-names></name>, <name name-style="western"><surname>Flintoft</surname> <given-names>V</given-names></name>, <name name-style="western"><surname>Bica</surname> <given-names>A</given-names></name>. <article-title>Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm</article-title>. <source>Diabetes Care</source> <year>2002</year>;<volume>25</volume>:<fpage>512</fpage>–<lpage>6</lpage>. <object-id pub-id-type="pmid">11874939</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref027"><label>27</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Gomes</surname> <given-names>T</given-names></name>, <name name-style="western"><surname>Mamdani</surname> <given-names>MM</given-names></name>, <name name-style="western"><surname>Dhalla</surname> <given-names>IA</given-names></name>, <name name-style="western"><surname>Paterson</surname> <given-names>JM</given-names></name>, <name name-style="western"><surname>Juurlink</surname> <given-names>D</given-names></name>.<article-title>N. Opioid dose and drug-related mortality in patients with nonmalignant pain</article-title>. <source>Arch Intern Med</source> <year>2011</year>;<volume>171</volume>:<fpage>686</fpage>–<lpage>91</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1001/archinternmed.2011.117" xlink:type="simple">10.1001/archinternmed.2011.117</ext-link></comment> <object-id pub-id-type="pmid">21482846</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref028"><label>28</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Gomes</surname> <given-names>T</given-names></name>, <name name-style="western"><surname>Redelmeier</surname> <given-names>DA</given-names></name>, <name name-style="western"><surname>Juurlink</surname> <given-names>DN</given-names></name>, <name name-style="western"><surname>Dhalla</surname> <given-names>IA</given-names></name>, <name name-style="western"><surname>Camacho</surname> <given-names>X</given-names></name>, <name name-style="western"><surname>Mamdani</surname> <given-names>MM</given-names></name>. <article-title>Opioid dose and risk of road trauma in Canada: a population-based study</article-title>. <source>JAMA Intern Med</source> <year>2013</year>;<volume>173</volume>:<fpage>196</fpage>–<lpage>201</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1001/2013.jamainternmed.733" xlink:type="simple">10.1001/2013.jamainternmed.733</ext-link></comment> <object-id pub-id-type="pmid">23318919</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref029"><label>29</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Mamdani</surname> <given-names>M</given-names></name>, <name name-style="western"><surname>Sykora</surname> <given-names>K</given-names></name>, <name name-style="western"><surname>Li</surname> <given-names>P</given-names></name>, <name name-style="western"><surname>Normand</surname> <given-names>SL</given-names></name>, <name name-style="western"><surname>Streiner</surname> <given-names>DL</given-names></name>, <name name-style="western"><surname>Austin</surname> <given-names>PC</given-names></name>, <etal>et al</etal>. <article-title>Reader's guide to critical appraisal of cohort studies: 2. Assessing potential for confounding</article-title>. <source>BMJ</source> <year>2005</year> <day>23</day>;<volume>330</volume>:<fpage>960</fpage>–<lpage>2</lpage>. <object-id pub-id-type="pmid">15845982</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref030"><label>30</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Charlson</surname> <given-names>ME</given-names></name>, <name name-style="western"><surname>Pompei</surname> <given-names>P</given-names></name>, <name name-style="western"><surname>Ales</surname> <given-names>KL</given-names></name>, <name name-style="western"><surname>MacKenzie</surname> <given-names>CR</given-names></name>. <article-title>A new method of classifying prognostic comorbidity in longitudinal studies: development and validation</article-title>. <source>J Chronic Dis</source> <year>1987</year>;<volume>40</volume>:<fpage>373</fpage>–<lpage>83</lpage>. <object-id pub-id-type="pmid">3558716</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref031"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">IMS Institute for Healthcare Informatics. The Use of Medicines in the United States: Review of 2011. Available: <ext-link ext-link-type="uri" xlink:href="http://www.imshealth.com/ims/Global/Content/Insights/IMS%20Institute%20for%20Healthcare%20Informatics/IHII_Medicines_in_U.S_Report_2011.pdf" xlink:type="simple">http://www.imshealth.com/ims/Global/Content/Insights/IMS%20Institute%20for%20Healthcare%20Informatics/IHII_Medicines_in_U.S_Report_2011.pdf</ext-link>. Accessed 28 July 2013.</mixed-citation></ref>
<ref id="pone.0134550.ref032"><label>32</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Noble</surname> <given-names>M</given-names></name>, <name name-style="western"><surname>Tregear</surname> <given-names>SJ</given-names></name>, <name name-style="western"><surname>Treadwell</surname> <given-names>JR</given-names></name>, <name name-style="western"><surname>Schoelles</surname> <given-names>K</given-names></name>. <article-title>Long-term opioid therapy for chronic noncancer pain: a systematic review and meta-analysis of efficacy and safety</article-title>. <source>J Pain Symptom Manage</source> <year>2008</year>;<volume>35</volume>:<fpage>214</fpage>–<lpage>8</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.jpainsymman.2007.03.015" xlink:type="simple">10.1016/j.jpainsymman.2007.03.015</ext-link></comment> <object-id pub-id-type="pmid">18178367</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref033"><label>33</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Kissin</surname> <given-names>I</given-names></name>. <article-title>Long-term opioid treatment of chronic nonmalignant pain: unproven efficacy and neglected safety?</article-title> <source>J Pain Res</source> <year>2013</year>;<volume>6</volume>:<fpage>513</fpage>–<lpage>29</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.2147/JPR.S47182" xlink:type="simple">10.2147/JPR.S47182</ext-link></comment> <object-id pub-id-type="pmid">23874119</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref034"><label>34</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Furlan</surname> <given-names>AD</given-names></name>, <name name-style="western"><surname>Sandoval</surname> <given-names>JA</given-names></name>, <name name-style="western"><surname>Mailis-Gagnon</surname> <given-names>A</given-names></name>, <name name-style="western"><surname>Tunks</surname> <given-names>E</given-names></name>. <article-title>Opioids for chronic noncancer pain: a meta-analysis of effectiveness and side effects</article-title>. <source>CMAJ</source> <year>2006</year>;<volume>174</volume>:<fpage>1589</fpage>–<lpage>94</lpage>. <object-id pub-id-type="pmid">16717269</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref035"><label>35</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Spiller</surname> <given-names>H</given-names></name>, <name name-style="western"><surname>Lorenz</surname> <given-names>DJ</given-names></name>, <name name-style="western"><surname>Bailey</surname> <given-names>EJ</given-names></name>, <name name-style="western"><surname>Dart</surname> <given-names>RC</given-names></name>. <article-title>Epidemiological trends in abuse and misuse of prescription opioids</article-title>. <source>J Addict Dis</source> <year>2009</year>;<volume>28</volume>:<fpage>130</fpage>–<lpage>6</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1080/10550880902772431" xlink:type="simple">10.1080/10550880902772431</ext-link></comment> <object-id pub-id-type="pmid">19340675</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref036"><label>36</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Jamison</surname> <given-names>RN</given-names></name>, <name name-style="western"><surname>Butler</surname> <given-names>SF</given-names></name>, <name name-style="western"><surname>Budman</surname> <given-names>SH</given-names></name>, <name name-style="western"><surname>Edwards</surname> <given-names>RR</given-names></name>, <name name-style="western"><surname>Wasan</surname> <given-names>AD</given-names></name>. <article-title>Gender differences in risk factors for aberrant prescription opioid use</article-title>. <source>J Pain</source> <year>2010</year>;<volume>11</volume>:<fpage>312</fpage>–<lpage>20</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.jpain.2009.07.016" xlink:type="simple">10.1016/j.jpain.2009.07.016</ext-link></comment> <object-id pub-id-type="pmid">19944648</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref037"><label>37</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Back</surname> <given-names>SE</given-names></name>, <name name-style="western"><surname>Payne</surname> <given-names>RA</given-names></name>, <name name-style="western"><surname>Waldrop</surname> <given-names>AE</given-names></name>, <name name-style="western"><surname>Smith</surname> <given-names>A</given-names></name>, <name name-style="western"><surname>Reeves</surname> <given-names>S</given-names></name>, <name name-style="western"><surname>Brady</surname> <given-names>KT</given-names></name>. <article-title>Prescription opioid aberrant behaviors: a pilot study of sex differences</article-title>. <source>Clin J Pain</source> <year>2009</year>;<volume>25</volume>:<fpage>477</fpage>–<lpage>84</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1097/AJP.0b013e31819c2c2f" xlink:type="simple">10.1097/AJP.0b013e31819c2c2f</ext-link></comment> <object-id pub-id-type="pmid">19542794</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref038"><label>38</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Moride</surname> <given-names>Y</given-names></name>, <name name-style="western"><surname>Abenhaim</surname> <given-names>L</given-names></name>. <article-title>Evidence of the depletion of susceptibles effect in non-experimental pharmacoepidemiologic research</article-title>. <source>J Clin Epidemiol</source> <year>1994</year>;<volume>47</volume>:<fpage>731</fpage>–<lpage>7</lpage>. <object-id pub-id-type="pmid">7722586</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref039"><label>39</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Hall</surname> <given-names>AJ</given-names></name>, <name name-style="western"><surname>Logan</surname> <given-names>JE</given-names></name>, <name name-style="western"><surname>Toblin</surname> <given-names>RL</given-names></name>, <name name-style="western"><surname>Kaplan</surname> <given-names>JA</given-names></name>, <name name-style="western"><surname>Kraner</surname> <given-names>JC</given-names></name>, <name name-style="western"><surname>Bixler</surname> <given-names>D</given-names></name>, <etal>et al</etal>. <article-title>Patterns of abuse among unintentional pharmaceutical overdose fatalities</article-title>. <source>JAMA</source> <year>2008</year>;<volume>300</volume>:<fpage>2613</fpage>–<lpage>20</lpage>. <comment>doi: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1001/jama.2008.802" xlink:type="simple">10.1001/jama.2008.802</ext-link></comment> <object-id pub-id-type="pmid">19066381</object-id></mixed-citation></ref>
<ref id="pone.0134550.ref040"><label>40</label><mixed-citation publication-type="journal" xlink:type="simple"><collab xlink:type="simple">Centers for Disease Control and Prevention (CDC)</collab>. <article-title>Vital Signs: Risk for Overdose from Methadone Used for Pain Relief—United States, 1999–2010</article-title>. <source>MMWR Morb Mortal Wkly Rep</source>. <year>2012</year>;<volume>61</volume>:<fpage>493</fpage>–<lpage>497</lpage>. <object-id pub-id-type="pmid">22763888</object-id></mixed-citation></ref>
</ref-list>
</back>
</article>