Operational definition of precipitated opioid withdrawal

Background Opioid withdrawal can be expressed as both a spontaneous and precipitated syndrome. Although spontaneous withdrawal is well-characterized, there is no operational definition of precipitated opioid withdrawal.MethodsPeople (N = 106) with opioid use disorder maintained on morphine received 0.4 mg intramuscular naloxone and completed self-report (Subjective Opiate Withdrawal Scale, SOWS), visual analog scale (VAS), Bad Effects and Sick, and observer ratings (Clinical Opiate Withdrawal Scale, COWS). Time to peak severity and minimal clinically important difference (MCID) in withdrawal severity were calculated. Principal component analysis (PCA) during peak severity were conducted and analyzed with repeated measures analyses of variance (ANOVA).ResultsWithin 60 min, 89% of people reported peak SOWS ratings and 90% of people had peak COWS scores as made by raters. Self-reported signs of eyes tearing, yawning, nose running, perspiring, hot flashes, and observed changes in pupil diameter and rhinorrhea/lacrimation were uniquely associated with precipitated withdrawal. VAS ratings of Bad Effect and Sick served as statistically significant severity categories (0, 1–40, 41–80, and 81–100) for MCID evaluations and revealed participants' identification with an increase of 10 [SOWS; 15% maximum percent effect (MPE)] and 6 (COWS; 12% MPE) points as meaningful shifts in withdrawal severity indicative of precipitated withdrawal.ConclusionData suggested that a change of 10 (15% MPE) and 6 (12% MPE) points on the SOWS and COWS, respectively, that occurred within 60 min of antagonist administration was identified by participants as a clinically meaningful increase in symptom severity. These data provide a method to begin examining precipitated opioid withdrawal

Evaluation of the Hit Count as a Concussion Prevention Strategy in a Youth (4-14 years old) Football League: A Grant Proposal

Concussions in sports is a topic that has been studied extensively in the varsity level up to the professional level and even had a Hollywood movie made on the topic, yet the research is severely lacking at the youth level. A major barrier to concussion prevention is the attitudes and beliefs of the players, coaches, and parents regarding the seriousness of the consequences of concussions in the still-developing brain. Our grant proposal, “Evaluation of the “Hit Count” as a Concussion Prevention Strategy in a Youth (4-14 years old) Football League,” seeks to expand an existing intervention in youth baseball, translate it to youth football, and evaluate the efficacy. The “Hit Count” intervention, developed by the Concussion Legacy Foundation (CLF), builds on the idea from youth baseball that there are a maximum number of pitches a young player can throw before risking damage to his or her growing arm. Translating this to youth football, the CLF proposes that there are a maximum number of hits to the head that a player can sustain before risking injury to the developing brain. Since the “Pitch Count” intervention already has the buy-in from participants in this age group, we believe it has the potential to change the beliefs and attitudes of participants in other sports as well. By involving students and staff at a small private school in the Philadelphia area, our study aims to utilize helmet sensors to establish and evaluate the “Hit Count” intervention using Community Based Participatory Research. Data from this pilot study will be used in future grant applications for larger randomized community trials. Presentation: 15:3

Genetic Polymorphisms and Antidepressant Adverse Effects

Abstract Background Aim: to assess whether pharmacogenetic polymorphisms are associated with increased adverse effects or non-response with certain antidepressants whose metabolism is highly dependent on specific CYP450 isoenzymes. This is interim analysis of an ongoing study Methods We used a Case Control design comparing patients with major depressive disorder or generalized anxiety disorder who had had increased adverse effects from specified antidepressants (Cases) to patients who were poor responders to an antidepressant but without significant adverse effects (Controls) Genecept Assay™ (battery of pharmacogenetic tests relevant to psychiatry) was obtained using saliva or cheek swab Results Importantly, 57.1% of Cases were poor or intermediate metabolizers on the concerned isoenzyme vs. 17.2% of Controls (p= .006) 52.9% of subjects who had at least one severe adverse effect were found to be poor or intermediate metabolizers on the concerned isoenzyme compared to 24.2% of those who did not. This difference showed a trend towards statistical significance (p= .061) 69.2% of subjects who had more than one severe adverse effect were found to be poor or intermediate metabolizers on the concerned isoenzyme compared to 21.6% of those who did not (p= .005) 27.6% of Controls were ultrarapid metabolizers on the concerned isoenzyme vs. 14.3% of Cases (p= .221) No statistically significant differences in the proportions of Cases vs. Controls who were homozygous (TT) for methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism, or for the Short/Short form of the serotonin transporter promoter region allele. Conclusions Patients on certain commonly used antidepressants who had increased adverse effects were very likely to be poor or intermediate metabolizers on the relevant CYP450 isoenzyme Pharmacogenetic testing should routinely be considered in these patient

The relationship between treatment accessibility and preference amongst out-of-treatment individuals who engage in non-medical prescription opioid use

BackgroundRelatively little is known regarding the perception of medication-assisted treatments (MATs) and other treatment options amongst individuals that engage in non-medical prescription opioid use. This study surveyed out-of-treatment individuals that misuse opioids to better understand how perceived access to treatment shapes treatment preference.MethodsParticipants (n=357) were out-of-treatment adults registered as workers on the Amazon Mechanical Turk platform who reported current non-medical prescription opioid use. Participants were surveyed regarding demographics, insurance status, attitudes toward opioid use disorder (OUD) treatments, and self-reported symptoms of OUD.ResultsParticipants who were male, did not have health insurance, and knew that counseling-type services were locally available were most likely to first attempt counseling/detox treatments (χ2(6)=30.19, p<0.001). Participants who met criteria for severe OUD, used heroin in the last 30days, knew their insurance covered MAT, and knew of locally available MAT providers were most likely to first attempt MAT (χ2(4)=26.85, p<0.001). Participants with insurance and who knew of locally available physicians were most likely to attempt physician visits without the expressed purpose of MAT (χ2(3)=24.75, p<0.001).ConclusionOut-of-treatment opioid users were particularly interested in counseling-based services and medical care that could be attained from a primary-care physician. Results suggest that insurance coverage and perceived access to OUD treatment modalities influences where out-of-treatment opioid users might first seek treatment; understanding the factors that shape treatment preference is critical in designing early interventions to effectively reach this population

Opioid Overdose Education for Individuals Prescribed Opioids for Pain Management: Randomized Comparison of Two Computer-Based Interventions

BackgroundOpioid overdose (OD) rates in the United States have reached unprecedented levels. Current OD prevention strategies largely consist of distribution of naloxone and in-person trainings, which face obstacles to expedient, widespread dissemination. Web-based interventions have increased opioid-OD response knowledge in patients with opioid-use disorders; however, these interventions have not been tested in the larger population of individuals that are prescribed opioid analgesics. This study assessed a web-based intervention providing education across three knowledge domains: opioid effects, opioid-OD symptoms, and opioid-OD response.MethodsParticipants (N = 197) were adults recruited on Amazon Mechanical Turk from May to June 2017, who were prescribed an opioid medication for pain. Participants were randomly assigned to a Presentation (n = 97) intervention communicating relevant facts in each knowledge domain, or a Presentation + Mastery (n = 100) intervention including the same facts but requiring that participants respond correctly to ≥80% of embedded questions in each module before advancing. Participants completed the Brief Opioid Overdose Knowledge (BOOK) measure before and after the interventions, and provided feedback on acceptability.ResultsBoth versions of the intervention resulted in significant pre to postintervention increases in BOOK scores across all knowledge domains (p < 0.001), with no significant knowledge differences between groups. The Presentation intervention took significantly less time to complete (p < 0.001) and was completed by significantly more participants than the Presentation + Mastery intervention (p < 0.001). Most participants rated both interventions as highly acceptable.ConclusionResults replicate a previous study (1) and suggest the web-based Presentation intervention may be a convenient, cost-effective method for disseminating crucial public health information for preventing opioid OD

Attitudes toward organ donation for persons who have a substance use disorder relative to other health conditions.

Background: Increases in opioid-related overdose and death have led to increases in the number of organs available for donation and transplant, however persons who have a substance use disorder (SUD) may be disadvantaged relative to other health conditions with regard to receiving an organ for transplant.Objective: This study aimed to evaluate perceptions regarding acceptability and priority for organ donation vs. a control condition (resuscitation) for hypothetical persons with nine target health conditions including a substance use disorder, among persons recruited as part of an online survey.Methods: Respondents (N = 285; male = 172, female = 113) recruited from Amazon Mechanical Turk rated acceptability and priority that hypothetical persons representing nine target health conditions expected to influence transplant success (including a SUD) receive an organ transplant and resuscitation via a survey hosted by Qualtrics. Primary outcomes of stigma ratings and priority ranking of persons as a function of the hypothetical target health condition were analyzed using Repeated Measures Analyses of Variance and Bonferroni-corrected t-tests. Demographic information was presented descriptively for all respondents.Results: Ratings for acceptability and priority for persons who had a SUD were generally lower than ratings for other conditions for both organ for transplant and resuscitation, though respondents reported less stigma toward resuscitation, F(8) = 22.35, p <0.001 overall. Respondents were least supportive of persons who smoked cigarettes receiving an organ, p's < 0.001. Priority rankings favored persons who were young or had a history of heart disease. Multivariable models determined that target health condition, F(8) = 33.64, p < 0.001, was a better and more consistent predictor of response than demographic variables that were examined.Conclusions: Data suggest that general perception of acceptability and priority ranking for receipt of life-saving interventions was lower for persons who have a SUD relative to other clinically-relevant health conditions. Research to examine this effect among persons working in the donation system are warranted and efforts to reduce stigma toward persons who have a SUD should be continued

Recovery Goals and Long-term Treatment Preference in Persons Who Engage in Nonmedical Opioid Use

BackgroundWhile most opioid use disorder (OUD) treatment providers consider opioid abstinence to be the preferred outcome, little is known about the treatment preferences of the larger population of individuals who engage in nonmedical opioid use and have not yet sought treatment. This study sought to descriptively quantify the proportion of out-of-treatment individuals with nonmedical opioid use that have abstinent and nonabstinent recovery goals.MethodsParticipants (N = 235) who engage in nonmedical opioid use and met self-reported criteria for OUD were recruited online and participated in a cross-sectional survey on recovery goals and treatment perceptions. Participants were dichotomized as having either abstinent (70.6%) or nonabstinent (29.4%) recovery goals. Participants were presented with 13 treatment options and asked which treatment they would "try first" and which treatment they thought would be the best option for long-term recovery.ResultsPersons in the nonabstinent group were more likely to want to continue use of prescription opioids as prescribed by a physician compared with the abstinent group (χ[1] = 9.71, P = 0.002). There were no group differences regarding preference for individual OUD treatments. The most frequently endorsed treatments that participants would "try first" were physician visits (23.4%), one-on-one counseling (18.7%), and 12-step groups (13.2%), whereas the most frequently endorsed treatments for long-term recovery were one-on-one counseling (17.4%), residential treatment (16.7%), and buprenorphine (15.3%).ConclusionPublic health initiatives to engage out-of-treatment individuals should take into account recovery goals and treatment preferences to maximize treatment initiation and retention

A hidden aspect of the U.S. opioid crisis: Rise in first-time treatment admissions for older adults with opioid use disorder

BackgroundOlder adults with opioid use disorder (OUD) are a medically complex population. The current study evaluated trends in older adults seeking treatment for OUD, with a focus on primary heroin versus prescription opioid use. This study also compared older adults with OUD to the younger OUD population on demographics and drug use behaviors.MethodsPublicly available data from state-certified addiction treatment centers were collected via the Treatment Episode Data Set - Admissions (TEDS-A) between 2004-2015. This study utilized Joinpoint Regression to conduct a cross-sectional, longitudinal analysis of trends in first-time treatment admissions for OUD in adults 55 and older (older adults; n = 400,421) versus adults under the age of 55 (n = 7,795,839). Given the rapid increase in older adults seeking treatment for OUD between 2013-2015, secondary outcomes include changes in demographics and drug use between 2012 (as a baseline year) and 2015.ResultsThe proportion of older adults seeking treatment for OUD rose steadily between 2004-2013 (41.2% increase; p-trend = 0.046), then rapidly between 2013-2015 (53.5% increase; p-trend = 0.009). The proportion of older adults with primary heroin use more than doubled between 2012-2015 (p < 0.001); these individuals were increasingly male (p < 0.001), African American (p < 0.001), and using via the intranasal route of administration (p < 0.001).ConclusionsThere has been a recent surge in older adults seeking treatment for OUD, particularly those with primary heroin use. Specialized treatment options for this population are critically needed, and capacity for tailored elder care OUD treatments will need to increase if these trends continue

Individuals with Chronic Pain Who Misuse Prescription Opioids Report Sex-Based Differences in Pain and Opioid Withdrawal.

Objective Individuals with chronic pain who misuse prescription opioids are at high risk for developing opioid use disorder and/or succumbing to opioid overdose. The current study conducted a survey to evaluate sex-based differences in pain catastrophizing, opioid withdrawal, and current pain in persons with co-occurring chronic pain and opioid misuse. We hypothesized that women with chronic pain who misused prescription opioids would self-report higher pain ratings compared with men and that the relationship between pain catastrophizing and self-reported current pain would be moderated by symptoms of opioid withdrawal in women only. Design Survey assessment of the relationship between pain and opioid misuse. Setting Online via Amazon Mechanical Turk. Participants Persons with ongoing chronic pain who also misused prescription opioids on one or more days in the last 30 days were eligible (N = 181). Methods Participants completed demographic and standardized assessments including the Brief Pain Inventory (BPI), Pain Catastrophizing Scale (PCS), and Subjective Opiate Withdrawal Scale (SOWS). Results Women reported higher levels of current (P < 0.001), average (P < 0.001), and worst (P = .002) pain in the last 24 hours compared with men. Women also endorsed higher scores on the PCS (P = 0.006) and marginally higher past-30-day SOWS ratings (P = 0.068) compared with men. SOWS ratings moderated the relationship between PCS and BPI Worst Pain in women (ΔR2 < 0.127, ΔF(1, 78) = 12.39, P = 0.001), but not in men (ΔR2 < 0.000, ΔF(1, 98) = 0.003, P = 0.954). Conclusions These data suggest a strong relationship between opioid withdrawal, pain catastrophizing, and the experience of pain in women with chronic pain who misuse opioids

The relationship between pupil diameter and other measures of opioid withdrawal during naloxone precipitated withdrawal

BackgroundUnderstanding mechanisms of physiological opioid withdrawal symptoms can inform treatment strategies. This secondary analysis evaluated the association between mydriasis (dilated pupils), a commonly-assessed opioid withdrawal metric, with self- and observer-rated opioid withdrawal severity.MethodNinety-five participants with opioid physical dependence were stabilized with morphine before receiving an injection of the opioid antagonist naloxone to precipitate withdrawal. Pupil diameter, the Subjective Opiate Withdrawal Scale (SOWS), and the Clinical Opiate Withdrawal Scale (COWS) were collected at baseline and in 15-minute intervals for 120 min following naloxone administration. Pearson product-moment correlations and linear regressions characterized the relationships between pupil measurements (baseline and peak naloxone-induced) and self- and observer-rated measures of withdrawal. Repeated-measures ANOVAs tested whether self and observer-rated withdrawal severity corresponded to unique patterns in pupil changes.ResultsBaseline pupil diameter significantly correlated with SOWS and COWS peak scores. Peak naloxone-induced pupil diameter significantly correlated with SOWS scores only. Peak changes in pupil from baseline did not correspond to peak changes in self- and observer-rated withdrawal scales.ConclusionsThis study suggests that pupil diameter measurements were more closely associated with acute opioid withdrawal severity than changes in pupil diameter. Prospective research examining the mechanisms underlying the relationship between pupil diameter and opioid withdrawal severity are warranted