Nicotine and Opioids: a Call for Co-treatment as the Standard of Care

Behavioral economics of polysubstance use: The role of orexin-1 receptors in nicotine-induced augmentation of synthetic opioid consumption

Nicotine and opioid use disorders are highly comorbid in clinical populations. Ongoing nicotine administration facilitates opioid consumption in both rodents and humans. Moreover, preclinical studies support that former exposure to nicotine solely during adolescence augments opioid consumption in adulthood similarly to acute nicotine administration. This suggests that developmental nicotine exposure persistently alters the neural substrates underlying motivation in a manner that resembles the acute pharmacological actions of nicotine. The orexin system mediates motivation to consume opioids in large part through signaling at orexin-1 receptors (ORX1Rs). Both developmental nicotine exposure and acute nicotine administration profoundly alter functioning of the orexin system which may mediate the reinforcing enhancing properties of nicotine. Here, we used behavioral economic procedures to generate demand curves for consumption of the synthetic, short-acting, μ-opioid receptor agonist remifentanil (RMF) in adulthood following prior adolescent nicotine exposure (ANE) and again following reintroduction of acute nicotine administration (ANA). We found that ANE was sufficient to augment multiple indices of the motivational value of RMF in adulthood and these effects were further exacerbated by ANA given during RMF self-administration sessions. Additionally, we demonstrate that systemic antagonism of ORX1Rs with SB-334867 is more efficacious in limiting motivation for RMF in nicotine-exposed rats relative to controls and this differential efficacy was even greater in ANA conditions relative to former ANE. These findings support that nicotine-induced facilitation of orexin signaling may mechanistically contribute to augmented opioid consumption offering critical insight for treatment options for a population that is particularly vulnerable to developing opioid use disorder.

Factors associated with long-term opioid use among patients with axial spondyloarthritis or psoriatic arthritis who initiate opioids

OBJECTIVE

Up to one in five patients with axial spondyloarthritis (AxSpA) or psoriatic arthritis (PsA) newly initiated on opioids transition to long-term use within the first year. This study aimed to investigate individual factors associated with long-term opioid use among opioid new users with AxSpA/PsA.

METHODS

Adult patients with AxSpA/PsA and without prior cancer who initiated opioids between 2006 and 2021 were included from Clinical Practice Research Datalink Gold, a national UK primary care database. Long-term opioid use was defined as having ≥3 opioid prescriptions issued within 90 days, or ≥90 days of opioid supply, in the first year of follow-up. Individual factors assessed included sociodemographic, lifestyle factors, medication use and comorbidities. A mixed-effects logistic regression model with patient-level random intercept was used to examine the association of individual characteristics with the odds of long-term opioid use.

RESULTS

In total, 10 300 opioid initiations were identified from 8212 patients (3037 AxSpA; 5175 PsA). The following factors were associated with long-term opioid use: being a current smoker (OR: 1.62; 95%CI: 1.38,1.90), substance use disorder (OR: 2.34, 95%CI: 1.05,5.21), history of suicide/self-harm (OR: 1.84; 95%CI: 1.13,2.99), co-existing fibromyalgia (OR: 1.62; 95%CI: 1.11,2.37), higher Charlson Comorbidity Index (OR: 3.61; 95%CI: 1.69,7.71 for high scores), high MME/day at initiation (OR: 1.03; 95%CI: 1.02,1.03) and gabapentinoid (OR: 2.35; 95%CI: 1.75,3.16) and antidepressant use (OR: 1.69; 95%CI: 1.45,1.98).

CONCLUSIONS

In AxSpA/PsA patients requiring pain relief, awareness of lifestyle, sociodemographic and prescribing characteristics associated with higher risk of long-term opioid use can prompt timely interventions such as structured medication reviews and smoking cessation to promote safer prescribing and better patient outcomes.

A longitudinal observational study with ecological momentary assessment and deep learning to predict non-prescribed opioid use, treatment retention, and medication nonadherence among persons receiving medication treatment for opioid use disorder

BACKGROUND

Despite effective treatments for opioid use disorder (OUD), relapse and treatment drop-out diminish their efficacy, increasing the risks of adverse outcomes, including death. Predicting important outcomes, including non-prescribed opioid use (NPOU) and treatment discontinuation among persons receiving medications for OUD (MOUD) can provide a proactive approach to these challenges. Our study uses ecological momentary assessment (EMA) and deep learning to predict momentary NPOU, medication nonadherence, and treatment retention in MOUD patients.

METHODS

Study participants included adults receiving MOUD at a large outpatient treatment program. We predicted NPOU (EMA-based), medication nonadherence (Electronic Health Record [EHR]- and EMA-based), and treatment retention (EHR-based) using context-sensitive EMAs (e.g., stress, pain, social setting). We used recurrent deep learning models with 7-day sliding windows to predict the next-day outcomes, using Area Under the ROC Curve (AUC) for assessment. We employed SHapley additive ExPlanations (SHAP) to understand feature latency and importance.

RESULTS

Participants comprised 62 adults with 14,322 observations. Model performance varied across EMA subtypes and outcomes with AUCs spanning 0.58-0.97. Recent substance use was the best performing predictor for EMA-based NPOU (AUC = 0.97). Life-contextual factors were best performers for EMA-based medication nonadherence (AUC = 0.68) and retention (AUC = 0.89), and substance use risk factors (e.g., nicotine and alcohol use) and self-reported MOUD adherence performed best for predicting EHR-based medication nonadherence (AUC = 0.79). SHAP revealed varying latencies between predictors and outcomes.

CONCLUSIONS

Findings support the effectiveness of EMA and deep learning for forecasting actionable outcomes in persons receiving MOUD. These insights will enable the development of personalized dynamic risk profiles and just-in-time adaptive interventions (JITAIs) to mitigate high-risk OUD outcomes.

Differences in Provider Beliefs and Delivery of the 5As for Cigarette and Non-Cigarette Tobacco Use Between Two Types of Healthcare Centers Serving Rural and/or Medically Underserved Areas of Texas, US

BACKGROUND/OBJECTIVES

Rural populations in the US bear a disproportionate burden of cancer mortality, which may be partly due to their elevated tobacco use and the limited receipt of tobacco use interventions in rural healthcare settings. Here, we examine providers' use of the 5As (Ask, Advise, Assess, Assist, and Arrange), a brief tobacco cessation intervention, with their patients to assess intervention gaps.

METHODS

Provider practices in substance use treatment centers (SUTCs) and medical healthcare centers (MHCs), each serving rural and/or medically underserved areas (MUAs) of Texas, were compared. In total, 347 providers from 10 SUTCs (n = 174) and 9 MHCs (n = 173) responded to an anonymized survey about their cigarette and non-cigarette screening and intervention delivery, along with their perceived importance and workforce's preparedness to help patients stop using tobacco. Linear mixed and generalized linear mixed models were used to assess differences between practices at SUTCs and MHCs.

RESULTS

More MHC than SUTC providers reported that cigarette and non-cigarette tobacco use cessation intervention were (respectively) important parts of their job (p = 0.0009; p = 0.0023) and that their workforce was prepared to help their patients quit tobacco (p = 0.0275), although less than half of all respondents endorsed preparedness. Relative to those at SUTCs, MHC providers reported higher rates of asking (SUTCs = 59.57% and MHCs = 77.21%; p = 0.0182) and advising (SUTCs = 45.34% and MHCs = 72.35%; p = 0.0017) their patients to quit cigarette smoking and advising them to quit non-cigarette tobacco products (SUTCs = 43.94% and MHCs = 71.76%; p = 0.0016).

CONCLUSIONS

Overall, providers in both settings may benefit from greater preparation to deliver tobacco cessation care; needs were more prevalent within SUTCs than MHCs. Our findings can inform strategic planning to improve centers' capacity to comprehensively address their patients' tobacco use in rural/MUAs of Texas, US.

The association between smoking, chronic pain, and prescription opioid use: 2013-2021

It is known that smoking is associated with greater chronic pain. However, little is known about the magnitude of this relationship and its association with prescription opioid use. We examine the association between smoking status and three sets of outcomes: (1) starting and discontinuing opioids, (2) intensity of opioid use, and (3) opioid use and pain outcomes after quitting smoking. We use multinomial logit on adults in the nationally representative 2013-2021 Medical Expenditure Panel Survey linked to the National Health Interview Survey (N = 36,796). Smoking adults made up 16% of the population but used 30% of all opioid prescriptions and 40% of all annual Morphine Milligram Equivalents (MMEs). The 1% of the population that smoked and had severe work limitations due to pain used 20% of all MMEs. Smoking adults were 24% more likely than never-smoking adults to have chronic pain. Among those with pain, smoking adults had 46% higher relative risk of starting opioids compared to never-smoking adults (p < .01), and smoking adults had 6.6 times higher relative risk of continuing opioids the next year compared to never-smoking adults (p < .01). Those smoking and using opioids had 95% higher odds of using a prescribed dosage of 50 MME or more than never-smoking adults. A year after quitting smoking, opioid use declined by 20% and pain declined by 23% compared to those continuing to smoke, with no difference from never-smoking adults after 12 years. Integrating smoking cessation into pain management programs could be highly beneficial to adults with chronic pain. PERSPECTIVE: Rarely are smoking cessation and pain management programs integrated together. We show that such integration would be highly beneficial by estimating a strong association between smoking cessation and reduced chronic pain, work limitations, and prescription opioid use.

Vaping to quit smoking: Qualitative study of people receiving opioid agonist treatment

INTRODUCTION

Most patients receiving opioid agonist treatment (OAT) smoke tobacco. Approved cessation interventions are less effective in this group than the wider population. We investigated how people on OAT experience nicotine vaping to quit smoking.

METHODS

Patients on OAT randomised to the vaping arm of a smoking cessation trial were invited to participate in structured interviews incorporating broad pre-determined themes. A qualitative descriptive approach employing template analysis was used. Four authors coded transcripts, discussed discrepancies, modified the template using both inductive and deductive approaches. Authors made explicit their starting orientations and independent authors sought disconfirmatory data in a subsequent round of analysis.

RESULTS

Four women and eight men (median age 44 years) participated, including four who identified as Aboriginal. Participants reported vaping as cheaper, more acceptable and less stigmatising than smoking but expressed concerns about ongoing accessibility due to the Australian prescription access model. Some found it technically challenging at first, but not more so than standard nicotine replacement therapies. Participants gave accounts of craving and withdrawal experiences, including supplementary use of nicotine patches, and compulsions to vape frequently and intensely, potentially indicating need for higher nicotine dosage. Participants generally reported that vaping helped them quit smoking, though some worried about swapping nicotine addictions. Others were glad to be using a lower-risk alternative.

DISCUSSION AND CONCLUSIONS

This group reported varied experiences of nicotine vaping but were mainly optimistic that it could help them and others quit smoking. This was despite initial nicotine cravings and concerns about remaining addicted long-term.

Heavy Versus Light Smoking: Its Association With Opioid Use, Chronic Pain, and Mental Health

INTRODUCTION

There is much concern that substance use treatment programs are rarely integrated with smoking cessation programs. Here, the first national statistics are presented on the connection between heavy vs. light smoking and the opioid epidemic.

METHODS

Using the 2013-2021 Medical Expenditure Panel Survey linked to the National Health Interview Survey, N=81,400 adults-years, logit regressions estimate the impact of heavy vs. light smoking on opioid use, chronic pain, work limitations due to pain, and poor mental health. Analyses were conducted from October 2023 to May 2024.

RESULTS

Only 37 percent of the population has ever smoked, but they used 69% of the nation's annual prescription opioids. Adults who smoked more than 5 cigarettes a day composed 12% of the population but used about the same number of opioids as the 63% of the population who never smoked. Adults who formerly smoked used 16% fewer opioids than adults who currently smoke (p<0.01). The percent with chronic pain during the year varied from 12.2% for adults who never smoked to 14.2% for light smoking, to 16.5% for those smoking more than a pack a day (p<0.01). Severe work limitations due to pain varied from 7.3% for adults who never smoked to 16.9% for those smoking more than a pack a day (p<0.01). Adults smoking more than a pack a day were twice as likely to report fair or poor mental health compared to those who never smoked (29.2% vs 13.6%) (p<0.01).

CONCLUSIONS

As nations deal with the opioid epidemic, integrating smoking cessation programs into substance abuse treatment programs appears prudent.

Choice of smoking cessation products among people with substance use problems in the US: Findings from the Population Assessment of Tobacco and Health (PATH) study Wave 6

OBJECTIVE

The aim of this study was to compare past 12-month use of cigarette smoking cessation aids (e.g., Food and Drug Administration (FDA)-approved cessation products or e-cigarettes for smoking cessation) among people with substance use problems (PWSUPs) who currently smoke to people without substance use problems (SUPs) who currently smoke cigarettes in a nationally representative US sample.

METHODS

We used the Population Assessment of Tobacco and Health (PATH) Wave 6 Study [n = 30,516]. Our sample comprised adult (18+) established cigarette smokers (100+ lifetime-sticks with daily/non-daily use) [n = 5,895]. The independent variable was SUP status (no, moderate, and high). The dependent variables were past-year use of: nicotine replacement therapies (NRTs), cessation medications [i.e., varenicline or bupropion], or e-cigarettes [for cigarette cessation and reduction]. Weighted multivariable logistic regression models for each dependent variable examined the associations between SUP status and each cessation aid, adjusting for cigarette dependence, daily cigarette smoking, and demographic factors.

RESULTS

Among people who smoke, a higher proportion of respondents with high SUP severity used NRTs, cessation medications, and e-cigarettes for cigarette cessation, respectively (12.3%, 8.4%, 15.7%), compared to those with no/low SUP severity (9.8%, 6.0%, 8.9%). In the multivariable models, respondents with high SUPs had 63% (95% CI:1.16-2.29) higher odds of using e-cigarettes for cessation than those without SUPs. No significant differences were seen between high (vs. no/low SUPs) in the past-year use of NRTs and cessation medications.

CONCLUSION

Our findings indicate that cigarette smokers with high SUPs had higher odds of using e-cigarettes for cessation and reduction compared to smokers without SUPs.

Predicting buprenorphine adherence among patients with opioid use disorder in primary care settings

BACKGROUND

Medications for opioid use disorder (MOUD), including buprenorphine, are effective treatments for opioid use disorder (OUD) and reduce risk for overdose and death. Buprenorphine can be prescribed in outpatient primary care settings to treat OUD; however, prior research suggests adherence to buprenorphine in these settings can be low. The purpose of this study was to identify the rates of and factors associated with buprenorphine adherence among patients with OUD in the first six months after a new start of buprenorphine.

METHODS

Data were extracted from the electronic health record (EHR) from a large integrated health system in the upper Midwest. Patients with OUD (N = 345; Mean age = 37.6 years, SD 13.2; 61.7% male; 78% White) with a new start of buprenorphine between March 2019 and July 2021 were included in the analysis. Buprenorphine adherence in the first six months was defined using medication orders; the proportion of days covered (PDC) with a standard cut-point of 80% was used to classify patients as adherent or non-adherent. Demographic (e.g., age, sex, race and ethnicity, geographic location), service (e.g., encounters, buprenorphine formulations and dosage) and clinical (e.g., diagnoses, urine toxicology screens) characteristics were examined as factors that could be related to adherence. Analyses included logistic regression with adherence group as a binary outcome.

RESULTS

Less than half of patients were classified as adherent to buprenorphine (44%). Adjusting for other factors, male sex (OR = 0.34, 95% CI = 0.20, 0.57, p < .001) and having an unexpected positive for opioids on urine toxicology (OR = 0.42, 95% CI = 0.21, 0.83, p < .014) were associated with lower likelihood of adherence to buprenorphine, whereas being a former smoker (compared to a current smoker; OR = 1.82, 95% CI = 1.02, 3.27, p = .014) was associated with greater likelihood of being adherent to buprenorphine.

CONCLUSIONS

These results suggest that buprenorphine adherence in primary care settings may be low, yet male sex and smoking status are associated with adherence rates. Future research is needed to identify the mechanisms through which these factors are associated with adherence.

Acute nicotine administration reduces the efficacy of punishment in curbing remifentanil consumption in a seeking-taking chain schedule of reinforcement

RATIONALE

Nicotine dependence is highly comorbid with opioid use disorders (OUDs). The use of nicotine-containing products increases the propensity to misuse prescription opioids and addressing both nicotine and opioid use simultaneously is more efficacious for treatment of OUDs than treating opioid use alone.

OBJECTIVES

Given this extreme comorbidity, further elucidation of the effects of nicotine as a factor in promoting vulnerability to development of OUDs is needed. Here, we sought to further explore the effects of nicotine administration on operant self-administration of remifentanil (RMF), a fast-acting synthetic µ-opioid receptor agonist, using a heterogenous seeking-taking chain schedule of reinforcement in unpunished and punished conditions.

METHODS

Male and female rats received nicotine (0.4 mg/kg) or saline prior to operant self-administration sessions. These sessions consisted of pressing a 'seeking' lever to gain access to a 'taking' lever that could be pressed for delivery of 3.2 µg/kg RMF. After acquisition, continued drug seeking/taking was punished through contingent delivery of foot-shock.

RESULTS

Nicotine, relative to saline, increased RMF consumption. Furthermore, nicotine treatment resulted in significantly higher seeking responses and cycles completed, and this effect became more pronounced during punished sessions as nicotine-treated rats suppressed RMF seeking significantly less than controls. Nicotine treatment functionally reduced the efficacy of foot-shock punishment as a deterrent of opioid-seeking.

CONCLUSIONS

Nicotine administration enhanced both appetitive and consummatory responding for RMF and engendered a punishment-insensitive phenotype for RMF that was less impacted by contingent administration of foot-shock punishment. These findings provide further support for the hypothesis that nicotine augments vulnerability for addiction-like behaviors for opioids.

Impact of the Ottawa model on opiate screening and smoking cessation in methadone-treated patients with opioid use disorder: A retrospective cohort analysis

INTRODUCTION

Approximately 60 million individuals worldwide used opioids in 2021, constituting 1.2% of the global adult population. This study aimed to evaluate the effectiveness of integrated treatment strategies for opioid use disorder and nicotine use disorder by assessing the impact of smoking cessation within a methadone treatment framework.

METHODS

In a retrospective cohort study, 53 methadone maintenance patients were divided into 16 treatment-seeking smokers (TSS) and 37 treatment-rejecting smokers (TRS) based on their participation in the Ottawa model for smoking cessation plus 16 weeks of varenicline treatment. Both groups received standard methadone treatment for 68 weeks. TSS were followed up for 44 weeks to assess smoking cessation outcomes, while TRS had none due to their lack of participation in smoking cessation treatment.

RESULTS

The median age of the TSS group was 48 years, while that of the TRS group was 45.5 years. Males comprised 75% of TSS and 94.6% of the TRS. TSS exhibited an 83% decrease in positive opioid screen results compared to TRS (p=0.023). In TSS, peak smoking cessation success was observed at week 20, with 57% of participants maintaining carbon monoxide levels <5 ppm.

CONCLUSIONS

The significant reduction in positive opioid screens and the high smoking cessation rate in the TSS group highlight the efficacy of combined treatment methods. This study underscores the advantages of integrating smoking cessation with methadone maintenance treatment, indicating that comprehensive approaches can substantially improve treatment outcomes.

Attentional Bias for Opioids in Taiwanese Heavy Smokers with Chronic Noncancer Pain

Background and Objectives: Attentional bias (AB) for addictive substances is a feature of attention found in individuals with substance misuse or diagnosed with substance use disorders. When AB exists, the attention of the addicted individual may be quickly oriented to cues related to the addictive substance or be maintained on these cues for a longer time. AB toward opioids was found in Western samples of smokers with chronic noncancer pain. The level of AB was dose-responsive. However, similar studies in the Taiwanese population are lacking. This study compared the patterns of AB for opioid analgesics in Taiwanese participants with chronic noncancer pain to that of individuals without pain. This study aimed to investigate if AB toward opioids is presented in Taiwanese heavy smokers who are on long-term opioid therapy for pain control. Materials and Methods: Participants were grouped into chronic noncancer pain smokers, chronic pain nonsmokers, and smokers without pain, according to smoking habits and whether or not on long-term opioid therapy for pain control. Each participant completed demographic questionnaires, mood scales, and the opioid-related visual probe task. Differences in AB among the groups were compared using a three-way analysis of covariance controlling for daily cigarette consumption. Results: Chronic noncancer pain smokers (n = 17) and chronic pain nonsmokers (n = 16) displayed more severe levels of depression, anxiety, and pain, compared to smokers without pain (n = 28). Only did chronic pain nonsmokers show significant AB for opioid cues that were displayed for a short time. Analysis on reaction time found that smokers without pain consistently responded faster to the tasks. No difference in reaction time was found between the pain groups. Conclusions: The current study did not fully replicate findings from studies that were based in Western countries. Formulary availability and regulatory limitations might have affected patient's perception of prescription opioids in Taiwan. However, chronic pain nonsmokers exhibited initial orientation toward opioid-related cues when daily cigarette consumption was accounted for. According to previous research, this AB for shortly displayed opioid cues can be associated with the expectation of pain relief. The current finding also indicated general psychomotor retardation in individuals who were on long-term use of opioids.

Predictors of postoperative opioid use in ventral and incisional hernia repair

BACKGROUND

One in two ventral and incisional hernia repair (VIHR) patients have preoperative opioid prescription within a year before procedure. The study's aim was to investigate risk factors of increased postoperative prescription filling in patients with or without preoperative opioid prescription.

METHODS

VIHR cases from 2013 to 2017 were reviewed. State prescription drug monitoring program data were linked to patient records. The primary endpoint was cumulative opioid dose dispensed through post-discharge day 45. Morphine milligram equivalent (MME) was used for uniform comparison.

RESULTS

205 patients were included in the study (average age 53.5 years; 50.7% female). Over 35% met criteria for preoperative opioid use. Preoperative opioid tolerance, superficial wound infection, current smoking status, and any dispensed opioids within 45 days of admission were independent predictors for increased postoperative opioid utilization (p < 0.001).

CONCLUSION

Preoperative opioid use during 45-day pre-admission correlated strongly with postoperative prescription filling in VIHR patients, and several independent risk factors were identified.

Adolescent nicotine exposure promotes adulthood opioid consumption that persists despite adverse consequences and increases the density of insular perineuronal nets

Adolescence marks a sensitive period for neurodevelopment wherein exposure to drugs of abuse may disrupt maturation and induce persistent changes in neurophysiology which may exacerbate the risk for developing substance use disorders in adulthood. Adolescent nicotine exposure (ANE) enhances motivation to obtain drugs of abuse, particularly opioids, and increases vulnerability for the development of opioid use disorder (OUD). Here, we characterized ANE effects on learning about the adverse consequences of opioid consumption in adulthood in the absence of further nicotine administration. First, we show that ANE engenders punishment resistant fentanyl self-administration in a heterogenous seeking-taking chain schedule of reinforcement at least at the tested dose of fentanyl (0.75 μg/kg). We found that ANE rats consumed significantly more fentanyl and contingent foot shock punishment was less efficacious in limiting fentanyl seeking in ANE rats, relative to nicotine-naïve controls. Next, we demonstrated that ANE limits learning about the deleterious consequences of acute opioid intoxication in adulthood. In a combined conditioned taste avoidance and place preference paradigm we found that ANE resulted in significant reductions in the strength of morphine-induced CTA, and a simultaneous enhancement of CPP at a higher dose that was less capable of driving reinforcement in naïve controls. Finally, we examined the expression of perineuronal nets (PNNs) within insular cortex (IC) and found ANE rats to have increased density of PNNs across the anterior IC and significantly more parvalbumin-labeled IC cells relative to naïve controls. Together, these data lay the framework for a mechanistic explanation of the extreme comorbidity between nicotine use and development of OUDs.

An overview of systematic reviews on predictors of smoking cessation among young people

Understanding the factors that influence smoking cessation among young people is crucial for planning targeted cessation approaches. The objective of this review was to comprehensively summarize evidence for predictors of different smoking cessation related behaviors among young people from currently available systematic reviews. We searched six databases and reference lists of the included articles for studies published up to October 20, 2023. All systematic reviews summarizing predictors of intention to quit smoking, quit attempts, or smoking abstinence among people aged 10-35 years were included. We excluded reviews on effectiveness of smoking cessation intervention; smoking prevention and other smoking behaviors; cessation of other tobacco products use, dual use, and polysubstance use. We categorized the identified predictors into 5 different categories for 3 overlapping age groups. JBI critical appraisal tool and GRADE-CERqual approach were used for quality and certainty assessment respectively. A total of 11 systematic reviews were included in this study; all summarized predictors of smoking abstinence/quit attempts and two also identified predictors of intention to quit smoking. Seven reviews had satisfactory critical appraisal score and there was minimal overlapping between the reviews. We found 4 'possible' predictors of intention to quit smoking and 119 predictors of smoking abstinence/quit attempts. Most of these 119 predictors were applicable for ~10-29 years age group. We had moderate confidence on the 'probable', 'possible', 'insufficient evidence', and 'inconsistent direction' predictors and low confidence on the 'probably unrelated' factors. The 'probable' predictors include a wide variety of socio-demographic factors, nicotine dependence, mental health, attitudes, behavioral and psychological factors, peer and family related factors, and jurisdictional policies. These predictors can guide improvement of existing smoking cessation interventions or planning of new targeted intervention programs. Other predictors as well as predictors of intention to quit smoking need to be further investigated among adolescents and young adults separately.

Update of statistical analysis plan for: Integration of smoking cessation into standard treatment for patients receiving opioid agonist therapy who are smoking tobacco: protocol for a randomised controlled trial (ATLAS4LAR)

This protocol paper presents an updated statistical analysis plan of the protocol of a randomised controlled trial. The randomised controlled trial investigates the effect of integrating smoking cessation interventions at outpatient opioid agonist therapy (OAT) clinics for persons with opioid dependency receiving OAT medication. The intervention group receives weekly follow-up including a short behavioural intervention and provision of nicotine replacement products. The control group receives standard treatment. The duration of the intervention is 16 weeks and the follow-up was completed by the end of October 2023. The primary outcome is defined as the proportion of participants reducing the number of cigarettes smoked by at least a 50% at week 16 of the intervention period. The primary outcome will be analysed according to intention-to-treat principles. Missing outcome data will be set equal to the baseline values. Development and reporting of the statistical analysis plan follow the Guidelines for the Content of Statistical Analysis Plans in Clinical Trials.Trial registration ClinicalTrials.gov NCT05290025. Registered on 22 March 2022.

Postmortem toxicology findings from the Camden Opioid Research Initiative

The United States continues to be impacted by decades of an opioid misuse epidemic, worsened by the COVID-19 pandemic and by the growing prevalence of highly potent synthetic opioids (HPSO) such as fentanyl. In instances of a toxicity event, first-response administration of reversal medications such as naloxone can be insufficient to fully counteract the effects of HPSO, particularly when there is co-occurring substance use. In an effort to characterize and study this multi-faceted problem, the Camden Opioid Research Initiative (CORI) has been formed. The CORI study has collected and analyzed post-mortem toxicology data from 42 cases of decedents who expired from opioid-related toxicity in the South New Jersey region to characterize substance use profiles. Co-occurring substance use, whether by intent or through possible contamination of the illicit opioid supply, is pervasive among deaths due to opioid toxicity, and evidence of medication-assisted treatment is scarce. Nearly all (98%) of the toxicology cases show the presence of the HPSO, fentanyl, and very few (7%) results detected evidence of medication-assisted treatment for opioid use disorder, such as buprenorphine or methadone, at the time of death. The opioid toxicity reversal drug, naloxone, was detected in 19% of cases, but 100% of cases expressed one or more stimulants, and sedatives including xylazine were detected in 48% of cases. These results showing complex substance use profiles indicate that efforts at mitigating the opioid misuse epidemic must address the complications presented by co-occurring stimulant and other substance use, and reduce barriers to and stigmas of seeking effective medication-assisted treatments.

Mental health and substance use disorder comorbidities among Medicaid beneficiaries: Associations with opioid use disorder and prescription opioid misuse

Background

Medicaid presently insures about one-fourth of the US population and disproportionately insures about 38 % of non-elderly adults with an opioid use disorder (OUD). Owing to Medicaid's prominent role insuring persons with an OUD and that Medicaid coverage includes pharmaceutical benefits, there has been considerable interest in studying potential prescription opioid misuse among Medicaid beneficiaries and identifying subpopulations at higher risk for misuse and possible progression to an OUD.

Methods

The study goals were to explore the associations among prescription opioid misuse, OUD, and co-occurring mental health and other substance use disorders (SUD). We analyzed Illinois Medicaid 2018 claims data for 1102479 adult beneficiaries 18 to 64 years of age. Using algorithms based on previous studies, we first determined either the presence or absence of nine SUDS (including OUD), nine mental health disorders and likely prescription opioid misuse. Then, we subdivided the beneficiary sample into five groups: those who were prescribed opioids and evidenced either no, possible, or probable misuse; those evidencing an OUD; and those evidencing no opioid use or misuse.

Results

Bivariate analyses, upset plots, and multinomial logistic regressions were used to compare the five subgroups on the prevalence of co-occurring SUDS and mental health disorders. Those with an OUD or with probable prescription opioid misuse had the highest prevalence of most co-occurring conditions with beneficiaries with an OUD the most likely to evidence co-occurring SUDS, particularly tobacco use disorder, whereas those with probable misuse had elevated prevalence rates of co-occurring mental health disorders comparable to those with an OUD.

Conclusion

The medical complexity of persons with an OUD or misusing prescription opioids are considered in light of recent attempts to expand buprenorphine provision as a medication for OUD among Medicaid beneficiaries. Additionally, we consider the possibility of gender, co-occurring mental health disorders, and tobacco use disorder as important risk factors for progressing to prescription opioid misuse and an OUD.

Dose Escalations Among Workers' Compensation Claimants Using Opioid Medications-An 8 Year Postinjury Follow up Study

OBJECTIVE

The aim of the study is to determine the morphine equivalent dose in milligrams (MED)/day escalation trend after initial utilization.

METHODS

A total of 25,108 lost time claims filed between 1998 and 2007 were followed for 8 years from injury date. Claims were stratified by initial MED/day at 3 months after injury into four groups (0, 1 to < 15, 15 to < 30, and ≥30 MED/day). The slopes in MED/year of opioid dose escalation were determined for each initial MED/day group.

RESULTS

The slopes of MED/day escalation by initial MED categories were similar ( P ≥ 0.05) ranging from 5.38 to 7.76 MED annually. On average, MED/day increased in a liner pattern with a slope at 6.28 MED/year ( P < 0.01).

CONCLUSIONS

Opioid MED/day increased in a linear pattern, regardless of initial MED/day dose.

How do patients and staff in an opioid agonist treatment service view smoking cessation medications and e-cigarettes?

INTRODUCTION

Tobacco use and related mortality is common in people receiving opioid agonist treatment (OAT). Smoking cessation medications are available and e-cigarettes are increasingly recommended for high risk populations. This study explores experience, knowledge and attitudes around smoking cessation medications (nicotine replacement therapy [NRT], bupropion and varenicline) and e-cigarettes in patients and clinicians in two public Australian OAT clinics.

METHODS

Cross-sectional surveys of patients and clinicians and a randomly sampled retrospective medical record review. Patients were recruited through an advertisement in the clinic, and clinicians through advertisement at an educational session.

RESULTS

Ninety-one patients and 10 clinicians completed the surveys. Most patients had at least one quit attempt and 43% were currently trying to quit. There were high levels of exposure to NRT, lower levels with varenicline and very limited exposure to bupropion. Patients considered e-cigarettes most helpful, but were more likely to consider using NRT. Few patients reported smoking cessation interventions from their clinicians. Most clinicians identified high tobacco use prevalence, considered this problematic, but reported low rates of smoking cessation intervention. NRT was the preferred medication. E-cigarettes were not considered helpful. Sixty-six percent of the 140 records reviewed documented patients as smokers. Tobacco cessation medication was rarely discussed or provided.

DISCUSSION AND CONCLUSIONS

Patients report high rates of tobacco cessation planning, but low rates of intervention. Experience of varenicline and bupropion is limited. E-cigarettes were preferred over varenicline and bupropion. Improving patient's and clinician's knowledge of tobacco cessation medications could improve smoking cessation interventions and uptake of approved medications.

Educating Substance Use Treatment Center Providers on Tobacco Use Treatments Is Associated with Increased Provision of Counseling and Medication to Patients Who Use Tobacco

Tobacco use is the leading preventable cause of death in America and is elevated among patients with non-tobacco substance use disorders. Substance use treatment centers (SUTCs) do not commonly address their patients' tobacco use. Lack of knowledge on treating tobacco use with counseling and medication may be a barrier that underlies this inaction. A multi-component tobacco-free workplace program implemented in Texas SUTCs educated providers on treating tobacco use with evidence-based medication (or referral) and counseling. This study examined how center-level changes in knowledge from pre- to post-implementation (i.e., over time) affected center-level behavioral changes in providers' provision of tobacco use treatment over time. Providers from 15 SUTCs completed pre- and post-implementation surveys (pre N = 259; post N = 194) assessing (1) perceived barriers to treating tobacco use, specifically, a lack of knowledge on treating tobacco use with counseling or medication; (2) receipt of past-year education on treating tobacco use with counseling or medication; and (3) their intervention practices, specifically, the self-reported regular use of (a) counseling or (b) medication intervention or referral with patients who use tobacco. Generalized linear mixed models explored associations between provider-reported knowledge barriers, education receipt, and intervention practices over time. Overall, recent counseling education receipt was endorsed by 32.00% versus 70.21% of providers from pre- to post-implementation; the regular use of counseling to treat tobacco use was endorsed by 19.31% versus 28.87% from pre- to post-implementation. Recent medication education receipt was endorsed by 20.46% versus 71.88% of providers from pre- to post-implementation; the regular use of medication to treat tobacco use was endorsed by 31.66% versus 55.15% from pre- to post-implementation. All changes were statistically significant (ps < 0.05). High versus low reductions in the provider-reported barrier of "lack of knowledge on pharmacotherapy treatment" over time were a significant moderator of effects, such that SUTCs with high reductions in this barrier were more likely to report greater increases in both medication education receipt and medication treatment/referral for patients who use tobacco over time. In conclusion, a tobacco-free workplace program implementation strategy that included SUTC provider education improved knowledge and resulted in increased delivery of evidence-based treatment of tobacco use at SUTCs; however, treatment provision rates-in particular, offering tobacco cessation counseling-remained less than desirable, suggesting that barriers beyond lack of knowledge may be important to address to improve tobacco use care in SUTCs. Moderation results suggest (1) differences in the mechanisms underlying uptake of counseling education versus medication education and (2) that the relative difficulty of providing counseling versus providing medication persists regardless of knowledge gains.

High smoking and low cessation rates among patients in treatment for opioid and other substance use disorders

BACKGROUND

Smoking is a well-documented cause of health problems among individuals with substance use disorders. For patients in opioid maintenance treatment (OMT), the risk for somatic health problems, including preventable diseases associated with tobacco smoking, increases with age. Our aim was to describe smoking among patients entering substance use disorder (SUD) treatment, investigate changes in smoking from the start of treatment to 1-year follow-up, and explore factors related to smoking cessation.

METHODS

We employed data from the Norwegian Cohort of Patient in Opioid Maintenance Treatment and Other Drug Treatment Study (NorComt). Participants were 335 patients entering SUD treatment at 21 participating facilities across Norway. They were interviewed at the start of treatment and at 1-year follow-up. The main outcomes were smoking and smoking cessation by treatment modality. A logistic regression identified factors associated with smoking cessation.

RESULTS

High levels of smoking were reported at the start of treatment in both OMT (94%) and other SUD inpatient treatment patients (93%). At 1-year follow-up most patients in OMT were still smoking (87%), and the majority of the inpatients were still smoking (69%). Treatment as an inpatient was positively associated and higher age was negatively associated with smoking cessation. Most patients who quit smoking transitioned to smokeless tobacco or kept their existing smokeless habit.

CONCLUSION

As illustrated by the high smoking prevalence and relatively low cessation levels in our sample, an increased focus on smoking cessation for patients currently in OMT and other SUD treatment is warranted. Harm-reduction oriented smoking interventions may be relevant.

Using crowdsourcing to study the differential effects of cross-drug withdrawal for cigarettes and opioids in a behavioral economic demand framework

Smoking rates among those who use prescribed or recreational opioids are significantly higher than the general population. Hypothesized neuropharmacological interactions between opioids and nicotine may contribute to this pattern of polysubstance use, especially during withdrawal. However, little research has examined how the withdrawal of one substance may affect the consumption of the other (i.e., cross-drug withdrawal effects). Behavioral economic demand tasks (e.g., hypothetical purchase tasks) can be used to quickly assess the value of a drug. Crowdsourcing can be a convenient tool to gain preliminary insight into different processes in substance valuation that may otherwise be impossible or prohibitively difficult to study. The purpose of the present study was to provide a preliminary examination of the effects of hypothetical withdrawal of cigarettes and opioids on the consumption of those drugs among polysubstance users. Amazon Mechanical Turk workers who reported daily smoking and at least monthly opioid use completed a series of hypothetical purchase tasks for doses of opioids and cigarettes under various withdrawal conditions. Sensitivity to the price of both drugs decreased when under withdrawal for either, indicating a higher drug value of cigarettes and opioids due to effects of cross-drug withdrawal. Nicotine and opioid dependence severity, impulsive choice, and riskiness were also positively related to drug purchasing. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Rates of substance and polysubstance use through universal maternal testing at the time of delivery

OBJECTIVE

To report substance and polysubstance use at the time of delivery.

STUDY DESIGN

A cross-sectional study was performed on mothers consented for universal drug testing (99%) during hospital admission at six delivery hospitals in Cincinnati, Ohio. Mass spectrometry urinalysis detected positivity rates of 46 substances. Rates of positive drug tests for individual and common co-occurring substances measured were reported.

RESULTS

2531 maternal samples were tested (88%) and 33% contained cotinine, 11.3% THC, 7.2% opioids, 3.8% cocaine, and 1.9% methamphetamines. Polysubstance use prevalence was as high as 15%. Among mothers testing positive for methadone or buprenorphine, 93% also tested positive for cotinine and 39% tested positive for a third substance in addition to cotinine.

CONCLUSIONS

Substance use at delivery is more prevalent than previously reported. Many mothers testing positive for opioids also test positive for other substances, which may increase overdose risk and exacerbate neonatal opioid withdrawal syndrome (NOWS).

Integration of Life Care Specialists Into Orthopaedic Trauma Care to Improve Postoperative Outcomes: A Pilot Study

BACKGROUND

  AIM: This pilot study assessed the feasibility and impact of integrating a Life Care Specialist (LCS) into orthopaedic trauma care.

DESIGN

This was a prospective feasibility single group pilot study at a level 1 trauma center.

METHOD

The LCS is a paraprofessional behavior-based "pain coach" and delivered patient-centered opioid safety education, trained participants on nonpharmacologic pain management approaches, conducted opioid risk assessments, and coordinated care. Numeric Rating Scale pain scores were assessed on admission, at discharge, and at 2-week follow-up. Daily morphine milligram equivalents (MME) during hospitalization, opioid medication use at 2-weeks, and patient satisfaction were recorded. T test compared mean morphine milligram equivalents (MME) to historical orthopaedic trauma patient population's mean dosage at discharge from the study site. Generalized linear models assessed pain scores over time.

RESULTS

Twenty-two percent of 121 total participants met criteria for moderate to severe risk of opioid misuse at initial hospitalization. On average, 2.8 LCS pain management interventions were utilized, most frequently progressive muscle relaxation (80%) and sound therapy (48%). Mean inpatient MME/day was 40.5, which was significantly lower than mean historical MME/day of 49.7 (p < .001). Pain scores improved over time from admission to 2-weeks postoperatively (p < .001). Nearly all participants agreed that the LCS was helpful in managing pain (99%).

CONCLUSIONS

The findings indicate feasibility to integrate LCS into orthopaedic trauma care, evident by participant engagement and satisfaction, and that LCS serve as valuable resources to assist with pain management and opioid education.

Text-messaging to promote smoking cessation among individuals with opioid use disorder: quantitative and qualitative evaluation

INTRODUCTION

Individuals with opioid use disorder (OUD) who smoke cigarettes have high tobacco-related comorbidities, lack of access to tobacco treatment, lack of inclusion in smoking cessation trials, and remain understudied in the mobile health field. The purpose of this study was to understand patients' with OUD perceptions of 1) text message programs to promote smoking cessation, 2) content and features to include in such a program, and 3) how message content should be framed.

METHODS

From December 2018 to February 2019, we recruited 20 hospitalized individuals with a concurrent diagnosis of OUD and tobacco dependence at Boston Medical Center (BMC), the largest safety-net hospital in New England. We surveyed participants' cell phone use, their interest in a text message program to promote smoking cessation, and their reactions to and ratings of a series of 26 prototype texts. We then conducted open-ended interviews to elicit content and suggestions on how text message interventions can improve motivation to increase smoking cessation among individuals with OUD. The interviews also included open-ended inquiries exploring message ratings and message content, inquiries about preferences for message duration, frequency, and personalization.

RESULTS

Quantitative analysis of questionnaire data indicated that the majority of participants owned a cell phone (95%, 19/20). Most participants (60%, 12/20) reported that they would be interested or very interested in receiving text messages about smoking cessation. Text messages about the health benefits of quitting were rated the highest among various categories of text messages. Qualitative analysis showed that almost every participant felt that text messages would help motivate smoking cessation given the support it would provide.

CONCLUSIONS

This study demonstrates that individuals with OUD who smoke cigarettes perceive that a text message program designed to promote smoking cessation would motivate and support smoking cessation efforts. Our findings demonstrate that such a program is feasible as participants own cell phones, frequently send and receive text messages, and have unlimited text message plans. Findings from this study provide valuable insight into content and features to include when developing text message programs to address barriers to smoking cessation in individuals who have OUD and smoke cigarettes.

Morphine Exposure Reduces Nicotine-Induced Upregulation of Nicotinic Receptors and Decreases Volitional Nicotine Intake in a Mouse Model

INTRODUCTION

Nicotine addiction remains a primary health concern as tobacco smoking remains the number one cause of preventable death in America. At the same time, America is still facing the threat of the opioid epidemic. While the prevalence of smoking combustible cigarettes or electronic nicotine delivery systems in the United States varies between 12% and 35%, the smoking rates among the opioid use dependent (OUD) population is 74%-97%. We examined changes in brain reward mechanisms in which co-use of nicotine and opioids may result in enhanced reward and reinforcement.

AIMS AND METHODS

Adult male and female α4-mCherryα6-GFP mice (C57BL/6J) were used in conditioned place preference (CPP) and microscopy assays to examine reward-related behavior and nicotinic acetylcholine receptor (nAChR) upregulation following treatments with saline, nicotine, morphine, or nicotine plus morphine. Following this, separate mice were trained in e-Vape self-administration assays to examine morphine's impact on nicotine reinforcement.

RESULTS

We observed that nicotine and morphine coexposure in a CPP assay did not produce enhanced reward-related behavior when compared with nicotine or morphine alone. In parallel we observed coexposure reduced nicotine-induced upregulation of nAChRs on ventral tegmental area dopamine and GABA neurons. Additionally, we observed that concurrent morphine exposure reduced nicotine (plus menthol) vapor self-administration in male and female mice.

CONCLUSIONS

While nicotine use is high among OUD individuals, our CPP assays suggest coexposure not only fails to enhance reward-related behavior but also reduces nicotine-induced changes in ventral tegmental area neurobiology. Our self-administration assays suggest that morphine exposure during nicotine acquisition reduces nicotine reinforcement-related behavior.

IMPLICATIONS

While some may postulate that the co-use of opioids and nicotine may be driven by reward-related mechanisms, our data indicate that opioid exposure may hinder nicotine intake due to reduced upregulation of nAChRs critical for nicotine reward and reinforcement. Thus, the high co-use in OUD individuals may be a result of other mechanisms and this warrants further investigations into nicotine and opioid co-use.

The effect of a Life Care Specialist on pain management and opioid-related outcomes among patients with orthopedic trauma: study protocol for a randomized controlled trial

BACKGROUND

Orthopedic trauma patients face complex pain management needs and are frequently prescribed opioids, leaving them at-risk for prolonged opioid use. To date, post-trauma pain management research has placed little emphasis on individualized risk assessments for misuse and systematically implementing non-pharmacologic pain management strategies. Therefore, a community-academic partnership was formed to design a novel position in the healthcare field (Life Care Specialist (LCS)), who will educate patients on the risks of opioids, tapering usage, safe disposal practices, and harm reduction strategies. In addition, the LCS teaches patients behavior-based strategies for pain management, utilizing well-described techniques for coping and resilience. This study aims to determine the effects of LCS intervention on opioid utilization, pain control, and patient satisfaction in the aftermath of orthopedic trauma.

METHODS

In total, 200 orthopedic trauma patients will be randomized to receive an intervention (LCS) or a standard-of-care control at an urban level 1 trauma center. All patients will be assessed with comprehensive social determinants of health and substance use surveys immediately after surgery (baseline). Follow-up assessments will be performed at 2, 6, and 12 weeks postoperatively, and will include pain medication utilization (morphine milligram equivalents), pain scores, and other substance use. In addition, overall patient wellness will be evaluated with objective actigraphy measures and patient-reported outcomes. Finally, a survey of patient understanding of risks of opioid use and misuse will be collected, to assess the influence of LCS opioid education.

DISCUSSION

There is limited data on the role of individualized, multimodal, non-pharmacologic, behavioral-based pain management intervention in opioid-related risk-mitigation in high-risk populations, including the orthopedic trauma patients. The findings from this randomized controlled trial will provide scientific and clinical evidence on the efficacy and feasibility of the LCS intervention. Moreover, the final aim will provide early evidence into which patients benefit most from LCS intervention.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04154384 . Registered on 11/6/2019 (last updated on 6/10/2021).

Traditional Cigarette and Poly-Tobacco Use Are Associated with Medical Opioid Use in Rural Areas of the US

Introduction: Medical prescriptions for opioids are higher in rural areas of the US as compared to urban areas. Tobacco use may also play a role in this process. This analysis examines the association between differing types of tobacco use and medical opioid use. Methods: We analyze the relationship between tobacco product use and medical opioid use among the US general population living in rural (non-metropolitan) areas using the publicly available sample adult file 2019 National Health Interview Survey (NHIS) (n = 5028). Tobacco use was classified into the following categories: only using cigarettes, only using e-cigarettes/vapes, only using cigars, only using smokeless tobacco, or using two or more of the following products. We used a binary logistic regression, controlling for individual differences. Results: Individuals who reported using only traditional cigarettes (and no other tobacco product, OR = 1.62, 95% CI: 1.31, 2.01), or who reported being a poly-tobacco users (OR = 2.13, 95% CI: 1.40, 3.22) had higher odds of medical opioid use in the last twelve months. Conclusion: Results suggest a link between tobacco use, particularly cigarette use and poly-tobacco use, and medical opioid use in rural communities. Clinical and structural level interventions need to be implemented in rural communities to reduce comorbid tobacco and opioid use.

Improving translational relevance: The need for combined exposure models for studying prenatal adversity

Prenatal environmental adversity is a risk factor for neurodevelopmental disorders (NDDs), with the neuroimmune environment proposed to play a role in this risk. Adverse maternal exposures are associated with cognitive consequences in the offspring that are characteristics of NDDs and simultaneous neuroimmune changes that may underlie NDD risk. In both animal models and human studies the association between prenatal environmental exposure and NDD risk has been shown to be complex. Maternal overnutrition/obesity and opioid use are two different examples of complex exposure epidemics, each with their own unique comorbidities. This review will examine maternal obesity and maternal opioid use separately, illustrating the pervasive comorbidities with each exposure to argue a need for animal models of compound prenatal exposures. Many of these comorbidities can impact neuroimmune function, warranting systematic investigation of combined exposures to begin to understand this complexity. While traditional approaches in animal models have focused on modeling a single prenatal exposure or second exposure later in life, a translational approach would begin to incorporate the most prevalent co-occurring prenatal exposures. Long term follow-up in humans is extremely challenging, so animal models can provide timely insight into neurodevelopmental consequences of complex prenatal exposures. Animal models that represent this translational context of comorbid exposures behind maternal obesity or comorbid exposures behind maternal opioid use may reveal potential synergistic neuroimmune interactions that contribute to cognitive consequences and NDD risk. Finally, translational co-exposure models can identify concerning exposure combinations to guide treatment in complex cases, and identify high risk children starting in the prenatal period where early interventions improve prognosis.