Pub Date : 2025-09-17DOI: 10.1016/j.dadr.2025.100380
Kaylia Carroll , Charles Ashley Warnock , Ashlin Ondrusek , Frances J. Griffith , Adam Viera , Noah Hopkins , Carmen Muniz-Almaguer , Cathy Jian , Carson F. Ferrara , Jessica Muilenburg , Trace Kershaw
Background
This study explores experiences of stigma in substance use treatment, coping strategies, and the contexts in which individuals feel stigmatized due to current or past substance use. Semi-structured interviews were conducted with 55 individuals enrolled in substance use treatment programs within two distinct geographical areas of the U.S., Northeast and Southeast. Data were collected from February to October 2023. Themes were organized by the Health Stigma and Discrimination Framework. Five themes were identified: 1.) Interpersonal drivers of stigma participants described feeling stigmatized by treatment staff, healthcare practitioners, and family; 2.) Substance- and method-specific stigmatization: participants reported feeling greater stigma from the use of criminalized substances and substances used intravenously, compared to non-criminalized substances and non-injection use methods; 3.) Coping approaches: participants identified active (e.g., prayer, meditation, exercise) and avoidant (e.g., laughing it off) strategies to manage stigmatizing experiences; 4.) Rejection of stereotypes: participants described empathetic views of people who use substances, even as they acknowledged that treatment environments often reinforce stigmatizing practices; 5.) Recovery-oriented care: participants felt less stigmatized and more comfortable with treatment providers with lived experience. Data for this study did not indicate differences by study site. Recommendations include prioritizing providers with lived experience, training healthcare workers in culturally responsive care, and integrating coping strategies and harm reduction into treatment to reduce stigma.
{"title":"Substance use, stigma, and coping in treatment: A qualitative study of participant perspectives","authors":"Kaylia Carroll , Charles Ashley Warnock , Ashlin Ondrusek , Frances J. Griffith , Adam Viera , Noah Hopkins , Carmen Muniz-Almaguer , Cathy Jian , Carson F. Ferrara , Jessica Muilenburg , Trace Kershaw","doi":"10.1016/j.dadr.2025.100380","DOIUrl":"10.1016/j.dadr.2025.100380","url":null,"abstract":"<div><h3>Background</h3><div>This study explores experiences of stigma in substance use treatment, coping strategies, and the contexts in which individuals feel stigmatized due to current or past substance use. Semi-structured interviews were conducted with 55 individuals enrolled in substance use treatment programs within two distinct geographical areas of the U.S., Northeast and Southeast. Data were collected from February to October 2023. Themes were organized by the Health Stigma and Discrimination Framework. Five themes were identified: 1.) <strong>Interpersonal drivers of stigma</strong> participants described feeling stigmatized by treatment staff, healthcare practitioners, and family; 2.) <strong>Substance- and method-specific stigmatization:</strong> participants reported feeling greater stigma from the use of criminalized substances and substances used intravenously, compared to non-criminalized substances and non-injection use methods; 3.) <strong>Coping approaches:</strong> participants identified active (e.g., prayer, meditation, exercise) and avoidant (e.g., laughing it off) strategies to manage stigmatizing experiences; 4.) <strong>Rejection of stereotypes:</strong> participants described empathetic views of people who use substances, even as they acknowledged that treatment environments often reinforce stigmatizing practices; 5.) <strong>Recovery-oriented care:</strong> participants felt less stigmatized and more comfortable with treatment providers with lived experience. Data for this study did not indicate differences by study site. Recommendations include prioritizing providers with lived experience, training healthcare workers in culturally responsive care, and integrating coping strategies and harm reduction into treatment to reduce stigma.</div></div>","PeriodicalId":72841,"journal":{"name":"Drug and alcohol dependence reports","volume":"17 ","pages":"Article 100380"},"PeriodicalIF":2.9,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-16DOI: 10.1016/j.dadr.2025.100381
Tangui Barré , Vincent Di Beo , Camelia Protopopescu , Emmanuel Lahaie , Raphaël Andler , Viêt Nguyen-Thanh , Anne Pasquereau , Patrizia Carrieri , François Beck
Background and aims
Tobacco use is a leading global risk factor for premature mortality. Cannabis-related harms are well documented, and its co-use with tobacco may hinder smoking cessation efforts. Moreover, tobacco use may amplify certain cannabis-related harms. To inform targeted interventions, we provided estimates of tobacco and cannabis co-use prevalence and correlates in France.
Methods
Using data from a 2021 nationwide representative sample of French population aged 18–64 years, we estimated the prevalence of tobacco and cannabis co-use. Co-use was defined as reporting daily cigarette smoking and at least monthly cannabis use. We used multinomial logistic regression models to identify factors associated with co-use.
Results
Among the 18,288 study participants, 71.8 % reported no use of cannabis or tobacco (‘no-use’ group), 22.3 % tobacco mono-use, 1.4 % cannabis mono-use, and 4.5 % co-use of both substances. Individuals who co-used reported a more frequent cannabis use than those who mono-used cannabis. Having financial difficulties was significantly associated with co-use, compared to tobacco and cannabis mono-use. After multivariable adjustment, the odds of co-use compared with ‘no-use’ was 2.3 times higher for participants with a poor health status, and 3.0 times higher for those with financial difficulties. Reporting a major depressive episode and unhealthy alcohol use were also significantly associated with co-use.
Conclusions
The clinical management of individuals who co-use tobacco and cannabis should include comprehensive assessments of physical and mental health, as well as alcohol consumption. Interventions to reduce co-use-related harms should also address the adverse social conditions experienced by this population.
{"title":"Prevalence and factors associated with tobacco and cannabis co-use in France: Results from a national representative survey","authors":"Tangui Barré , Vincent Di Beo , Camelia Protopopescu , Emmanuel Lahaie , Raphaël Andler , Viêt Nguyen-Thanh , Anne Pasquereau , Patrizia Carrieri , François Beck","doi":"10.1016/j.dadr.2025.100381","DOIUrl":"10.1016/j.dadr.2025.100381","url":null,"abstract":"<div><h3>Background and aims</h3><div>Tobacco use is a leading global risk factor for premature mortality. Cannabis-related harms are well documented, and its co-use with tobacco may hinder smoking cessation efforts. Moreover, tobacco use may amplify certain cannabis-related harms. To inform targeted interventions, we provided estimates of tobacco and cannabis co-use prevalence and correlates in France.</div></div><div><h3>Methods</h3><div>Using data from a 2021 nationwide representative sample of French population aged 18–64 years, we estimated the prevalence of tobacco and cannabis co-use. Co-use was defined as reporting daily cigarette smoking and at least monthly cannabis use. We used multinomial logistic regression models to identify factors associated with co-use.</div></div><div><h3>Results</h3><div>Among the 18,288 study participants, 71.8 % reported no use of cannabis or tobacco (‘no-use’ group), 22.3 % tobacco mono-use, 1.4 % cannabis mono-use, and 4.5 % co-use of both substances. Individuals who co-used reported a more frequent cannabis use than those who mono-used cannabis. Having financial difficulties was significantly associated with co-use, compared to tobacco and cannabis mono-use. After multivariable adjustment, the odds of co-use compared with ‘no-use’ was 2.3 times higher for participants with a poor health status, and 3.0 times higher for those with financial difficulties. Reporting a major depressive episode and unhealthy alcohol use were also significantly associated with co-use.</div></div><div><h3>Conclusions</h3><div>The clinical management of individuals who co-use tobacco and cannabis should include comprehensive assessments of physical and mental health, as well as alcohol consumption. Interventions to reduce co-use-related harms should also address the adverse social conditions experienced by this population.</div></div>","PeriodicalId":72841,"journal":{"name":"Drug and alcohol dependence reports","volume":"17 ","pages":"Article 100381"},"PeriodicalIF":2.9,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-11DOI: 10.1016/j.dadr.2025.100379
Barrett Wallace Montgomery, Tami L. Mark, William Dowd, Chelsea Katz, Dylan DeLisle, Thanh Lu, Minglu Sun, Gary A. Zarkin
In the United States, opioid treatment programs (OTPS) are the only provider type licensed to dispense methadone. Recently, U.S. regulators revised OTPs regulations with the aim of making OTP treatment more patient-centered and improving retention in treatment. Creating OTPs retention measures across all OTPs in the U.S. would give OTPs an important window into their retention rates relative to benchmarks and help identify which policies and procedures are most effective in improving retention. In the United States, insurance claims data are one of the few data sources available to create these metrics. Claims data include national provider identifiers; however, the Federal agency that regulates OTPs does not make public which national provider identifiers are associated with OTPs. This study investigated whether other variables captured in Medicaid claims could be used to identify OTPs. We identified two variables: methadone dispensing procedure codes and methadone clinic taxonomy codes, which identified 80 % and 66.8 % of the count of Medicaid-participating OTPs.Place of service and bill type codes were recently added to claims data and may be useful in the future. Methadone can reduce overdose deaths by 50 % but only if patients are maintained on methadone long enough. OTP metrics created with insurance claims data would facilitate efforts to improve retention and outcomes. This study identifies a practical way to identify OTPs in claims data to support such measures in the absence of a Federal list of OTPs and their national provider identifiers.
{"title":"Identifying Opioid Treatment Programs in Medicaid claims data to support quality improvement","authors":"Barrett Wallace Montgomery, Tami L. Mark, William Dowd, Chelsea Katz, Dylan DeLisle, Thanh Lu, Minglu Sun, Gary A. Zarkin","doi":"10.1016/j.dadr.2025.100379","DOIUrl":"10.1016/j.dadr.2025.100379","url":null,"abstract":"<div><div>In the United States, opioid treatment programs (OTPS) are the only provider type licensed to dispense methadone. Recently, U.S. regulators revised OTPs regulations with the aim of making OTP treatment more patient-centered and improving retention in treatment. Creating OTPs retention measures across all OTPs in the U.S. would give OTPs an important window into their retention rates relative to benchmarks and help identify which policies and procedures are most effective in improving retention. In the United States, insurance claims data are one of the few data sources available to create these metrics. Claims data include national provider identifiers; however, the Federal agency that regulates OTPs does not make public which national provider identifiers are associated with OTPs. This study investigated whether other variables captured in Medicaid claims could be used to identify OTPs. We identified two variables: methadone dispensing procedure codes and methadone clinic taxonomy codes, which identified 80 % and 66.8 % of the count of Medicaid-participating OTPs.Place of service and bill type codes were recently added to claims data and may be useful in the future. Methadone can reduce overdose deaths by 50 % but only if patients are maintained on methadone long enough. OTP metrics created with insurance claims data would facilitate efforts to improve retention and outcomes. This study identifies a practical way to identify OTPs in claims data to support such measures in the absence of a Federal list of OTPs and their national provider identifiers.</div></div>","PeriodicalId":72841,"journal":{"name":"Drug and alcohol dependence reports","volume":"17 ","pages":"Article 100379"},"PeriodicalIF":2.9,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-05DOI: 10.1016/j.dadr.2025.100378
Santiago Papini , Cara C. Young , Richard A. Brown , Haruka Minami , Hitoshi Morikawa , Michael W. Otto , John D. Roache , Jasper A.J. Smits
Introduction
Evidence based treatments for smoking cessation have high recurrence rates. Targeting cue-induced craving, a strong predictor of smoking recurrence, may be critical to promoting sustained abstinence. We previously found that isradipine, an FDA-approved antihypertensive, enhanced the effect of virtual reality cue exposure therapy (VR-CET) on cue-induced craving. In this secondary analysis we tested whether this augmentation strategy was more beneficial for participants with high (relative to low) baseline cue-induced craving.
Methods
After a 24-h abstinence challenge, participants (N = 78) completed a single session of VR-CET with isradipine or placebo, and returned for a 24-h follow-up to repeat the procedure in a medication-free state. We conducted a moderator analysis to test the hypothesis that the effect of isradipine on cue-induced craving at follow-up would be larger among participants with higher (relative to lower) baseline cue-reactivity.
Results
In the model of cue-induced craving at follow-up, the Group × Baseline cue-reactivity interaction was significant, p = .045. Among participants with higher baseline cue-induced craving, isradipine resulted in a large, significant reduction in mean craving in the follow-up session (M difference = −18.17, 95 % CI [−31.38, −4.95], p = .01, d = −1.46). Among participants with lower baseline cue-induced craving, results were not significantly different across groups (M difference = 1.38, 95 % CI [−12.98, 15.75], p = .85, d = 0.11).
Conclusions
Results suggest isradipine enhances VR-CET, particularly for individuals with higher baseline levels of cue-induced craving. Future studies testing prevention strategies that target higher cue-induced craving with isradipine to reduce rates of smoking recurrence are warranted.
基于证据的戒烟治疗有很高的复发率。针对提示诱导的渴望,一个强有力的预测吸烟复发,可能是促进持续戒烟的关键。我们之前发现,fda批准的抗高血压药物isradipine可以增强虚拟现实提示暴露疗法(VR-CET)对提示诱导的渴望的效果。在这一次要分析中,我们测试了这种增强策略是否对高(相对于低)基线线索诱导渴望的参与者更有益。方法:在24小时的戒除挑战后,参与者(N = 78)使用isradipine或安慰剂完成了单次VR-CET,并在无药物状态下进行24小时的随访,重复该过程。我们进行了一个调节分析来检验假设,即在基线线索反应性较高(相对于较低)的参与者中,伊斯拉地平对线索诱导渴望的影响会更大。结果在线索诱导渴望模型中,基线组与基线组的线索-反应性交互作用显著,p = 0.045。在基线线索诱导的渴望较高的参与者中,伊斯拉地平在随访期间显著降低了平均渴望(M差= - 18.17,95% CI [- 31.38, - 4.95], p =。01, d =−1.46)。在基线较低的线索诱导渴望的参与者中,结果各组间无显著差异(M差= 1.38,95% CI [- 12.98, 15.75], p =。85, d = 0.11)。结论:结果表明,isradipine可增强VR-CET,特别是对于基线水平较高的线索诱导渴望的个体。未来的研究测试了针对更高的线索诱导的渴望的预防策略,以减少吸烟复发率是有必要的。
{"title":"Isradipine enhancement of virtual reality cue exposure therapy is effective for individuals with higher baseline cue-induced craving","authors":"Santiago Papini , Cara C. Young , Richard A. Brown , Haruka Minami , Hitoshi Morikawa , Michael W. Otto , John D. Roache , Jasper A.J. Smits","doi":"10.1016/j.dadr.2025.100378","DOIUrl":"10.1016/j.dadr.2025.100378","url":null,"abstract":"<div><h3>Introduction</h3><div>Evidence based treatments for smoking cessation have high recurrence rates. Targeting cue-induced craving, a strong predictor of smoking recurrence, may be critical to promoting sustained abstinence. We previously found that isradipine, an FDA-approved antihypertensive, enhanced the effect of virtual reality cue exposure therapy (VR-CET) on cue-induced craving. In this secondary analysis we tested whether this augmentation strategy was more beneficial for participants with high (relative to low) baseline cue-induced craving.</div></div><div><h3>Methods</h3><div>After a 24-h abstinence challenge, participants (N = 78) completed a single session of VR-CET with isradipine or placebo, and returned for a 24-h follow-up to repeat the procedure in a medication-free state. We conducted a moderator analysis to test the hypothesis that the effect of isradipine on cue-induced craving at follow-up would be larger among participants with higher (relative to lower) baseline cue-reactivity.</div></div><div><h3>Results</h3><div>In the model of cue-induced craving at follow-up, the Group × Baseline cue-reactivity interaction was significant, <em>p</em> = .045. Among participants with higher baseline cue-induced craving, isradipine resulted in a large, significant reduction in mean craving in the follow-up session (<em>M</em> difference = −18.17, 95 % CI [−31.38, −4.95], <em>p</em> = .01, <em>d</em> = −1.46). Among participants with lower baseline cue-induced craving, results were not significantly different across groups (<em>M</em> difference = 1.38, 95 % CI [−12.98, 15.75], <em>p</em> = .85, <em>d</em> = 0.11).</div></div><div><h3>Conclusions</h3><div>Results suggest isradipine enhances VR-CET, particularly for individuals with higher baseline levels of cue-induced craving. Future studies testing prevention strategies that target higher cue-induced craving with isradipine to reduce rates of smoking recurrence are warranted.</div></div>","PeriodicalId":72841,"journal":{"name":"Drug and alcohol dependence reports","volume":"17 ","pages":"Article 100378"},"PeriodicalIF":2.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145050159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01DOI: 10.1016/j.dadr.2025.100362
Llewellyn Mills , Jonathon C. Arnold , Iain S. Mcgregor , Nicholas Lintzeris
Background
People who use cannabis medically do so more frequently than those who use nonmedically, potentially placing them at higher risk of cannabis use disorder (CUD). Prescription involves receiving guidance from doctors how best to administer medication; however, it remains unknown whether prescribed medical cannabis is associated with reduced incidence of CUD compared to illicit.
Methods
Data came from a 2022–23 online anonymous cross-sectional survey of Australians who had used medical cannabis. We examined differences between respondents who use Prescribed medical cannabis and respondents who use Illicit medical cannabis in demographic characteristics, patterns of use, and odds of meeting DSM-5 criteria for Any-CUD (≥2/11 criteria) and Moderate-Severe-CUD (≥4/11). Bayesian penalised regression models were used to identify the most important factors associated with CUD.
Results
Of 1796 respondents, 43 % met Any- and 17 % Moderate-Severe CUD criteria. In bivariate analyses, respondents who sourced illicit medical cannabis were more likely to meet criteria for Any CUD (53 % vs 41 %, OR=1.6 [CI: 1.3, 2.0]) and Moderate-Severe CUD (25 % vs 15 %, OR=2.0 [CI: 1.5, 2.6]) than those who were prescribed; however, with other factors controlled for, age, frequency-of-use, mental health, THC content, route of administration, and proportion of medical vs nonmedical cannabis use were more important correlates than whether medical cannabis was prescribed or illicitly sourced.
Conclusions
CUD is common amongst people who use medical cannabis. While CUD was less prevalent among people who obtained it on prescription than those who obtained it illicitly, other factors such as the concomitant use of cannabis for nonmedical reasons were a more important correlate with CUD.
{"title":"Factors associated with cannabis use disorder among Australians using prescribed and illicitly-sourced medical cannabis","authors":"Llewellyn Mills , Jonathon C. Arnold , Iain S. Mcgregor , Nicholas Lintzeris","doi":"10.1016/j.dadr.2025.100362","DOIUrl":"10.1016/j.dadr.2025.100362","url":null,"abstract":"<div><h3>Background</h3><div>People who use cannabis medically do so more frequently than those who use nonmedically, potentially placing them at higher risk of cannabis use disorder (CUD). Prescription involves receiving guidance from doctors how best to administer medication; however, it remains unknown whether prescribed medical cannabis is associated with reduced incidence of CUD compared to illicit.</div></div><div><h3>Methods</h3><div>Data came from a 2022–23 online anonymous cross-sectional survey of Australians who had used medical cannabis. We examined differences between respondents who use Prescribed medical cannabis and respondents who use Illicit medical cannabis in demographic characteristics, patterns of use, and odds of meeting DSM-5 criteria for Any-CUD (≥2/11 criteria) and Moderate-Severe-CUD (≥4/11). Bayesian penalised regression models were used to identify the most important factors associated with CUD.</div></div><div><h3>Results</h3><div>Of 1796 respondents, 43 % met Any- and 17 % Moderate-Severe CUD criteria. In bivariate analyses, respondents who sourced illicit medical cannabis were more likely to meet criteria for Any CUD (53 % vs 41 %, OR=1.6 [CI: 1.3, 2.0]) and Moderate-Severe CUD (25 % vs 15 %, OR=2.0 [CI: 1.5, 2.6]) than those who were prescribed; however, with other factors controlled for, age, frequency-of-use, mental health, THC content, route of administration, and proportion of medical vs nonmedical cannabis use were more important correlates than whether medical cannabis was prescribed or illicitly sourced.</div></div><div><h3>Conclusions</h3><div>CUD is common amongst people who use medical cannabis. While CUD was less prevalent among people who obtained it on prescription than those who obtained it illicitly, other factors such as the concomitant use of cannabis for nonmedical reasons were a more important correlate with CUD.</div></div>","PeriodicalId":72841,"journal":{"name":"Drug and alcohol dependence reports","volume":"16 ","pages":"Article 100362"},"PeriodicalIF":2.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144922364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-30DOI: 10.1016/j.dadr.2025.100377
Mahdokht Naghash , Rebecca L. Shaner , Hossein Poustchi , Gholamreza Roshandel , Katrice D. Williams , Abraham Tuachi , Farin Kamangar , Paolo Boffetta , Christian C. Abnet , Elizabeth I. Hamelin , Neal D. Freedman , Reza Malekzadeh , Arash Etemadi
Background
Biomarkers can clarify the mechanistic bases of health effects associated with opiate use and improve evaluating dose-response relationships by quantifying the absorbed dose through different routes and patterns of use, supporting the generalizability of opium research findings to broader opioid use.
Methods
We recruited 449 individuals who used opium and 66 individuals who did not, 10 years after baseline evaluation in a cohort study. At both time points, we collected self-reported characteristics of opium use (route, frequency, type, and dose) and measured urinary concentrations of codeine, hydrocodone, hydromorphone, morphine, morphine-3-glucuronide, and morphine-6-glucuronide in spot urine samples. We used multivariate linear regression models to determine the independent effects of each opium use characteristic on biomarker concentrations. Reliability of biomarker concentrations over the 10-year interval was assessed using intraclass correlation coefficients (ICCs) from linear mixed-effect models.
Results
At the follow-up, 229 (51.0 %) subjects used opium by ingestion, which showed a significant shift compared with baseline (24.4 % ingestion). In adjusted models, opium ingestion, daily use, and presence of opioid use disorder (OUD) were associated with higher concentrations of all opioid biomarkers compared with opium smoking, non-daily use, and absence of OUD, respectively. All opioid biomarkers showed significant dose-response relationships relative to self-reported doses. Biomarker concentrations peaked when opium was used 3–4 h before sample collection and declined afterwards, remaining detectable for several days. Biomarker measurements were reliable (ICCs between 0.69 and 0.78) over the 10-year interval.
Conclusions
Opioid biomarkers are valid markers of lifetime history, route, frequency, dose, and recency of opium use and OUD diagnosis, and demonstrate good long-term reliability.
{"title":"Opioid biomarkers in urine as reliable and valid correlates of opium use characteristics: A 10-year longitudinal assessment","authors":"Mahdokht Naghash , Rebecca L. Shaner , Hossein Poustchi , Gholamreza Roshandel , Katrice D. Williams , Abraham Tuachi , Farin Kamangar , Paolo Boffetta , Christian C. Abnet , Elizabeth I. Hamelin , Neal D. Freedman , Reza Malekzadeh , Arash Etemadi","doi":"10.1016/j.dadr.2025.100377","DOIUrl":"10.1016/j.dadr.2025.100377","url":null,"abstract":"<div><h3>Background</h3><div>Biomarkers can clarify the mechanistic bases of health effects associated with opiate use and improve evaluating dose-response relationships by quantifying the absorbed dose through different routes and patterns of use, supporting the generalizability of opium research findings to broader opioid use.</div></div><div><h3>Methods</h3><div>We recruited 449 individuals who used opium and 66 individuals who did not, 10 years after baseline evaluation in a cohort study. At both time points, we collected self-reported characteristics of opium use (route, frequency, type, and dose) and measured urinary concentrations of codeine, hydrocodone, hydromorphone, morphine, morphine-3-glucuronide, and morphine-6-glucuronide in spot urine samples. We used multivariate linear regression models to determine the independent effects of each opium use characteristic on biomarker concentrations. Reliability of biomarker concentrations over the 10-year interval was assessed using intraclass correlation coefficients (ICCs) from linear mixed-effect models.</div></div><div><h3>Results</h3><div>At the follow-up, 229 (51.0 %) subjects used opium by ingestion, which showed a significant shift compared with baseline (24.4 % ingestion). In adjusted models, opium ingestion, daily use, and presence of opioid use disorder (OUD) were associated with higher concentrations of all opioid biomarkers compared with opium smoking, non-daily use, and absence of OUD, respectively. All opioid biomarkers showed significant dose-response relationships relative to self-reported doses. Biomarker concentrations peaked when opium was used 3–4<!--> <!-->h before sample collection and declined afterwards, remaining detectable for several days. Biomarker measurements were reliable (ICCs between 0.69 and 0.78) over the 10-year interval.</div></div><div><h3>Conclusions</h3><div>Opioid biomarkers are valid markers of lifetime history, route, frequency, dose, and recency of opium use and OUD diagnosis, and demonstrate good long-term reliability.</div></div>","PeriodicalId":72841,"journal":{"name":"Drug and alcohol dependence reports","volume":"17 ","pages":"Article 100377"},"PeriodicalIF":2.9,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145007798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Despite the high and increasing rates of cannabis and nicotine/tobacco product (NTP) use during pregnancy, the impact of their combined use on health outcomes in offspring remains poorly understood. Given the growing body of research on prenatal cannabis and NTP co-exposure and its effects on neonatal, behavioral, cognitive, and physiological outcomes in offspring, we conducted a systematic review to synthesize the existing literature and evaluate whether prenatal co-exposure results in additive and/or synergistic adverse effects compared to prenatal cannabis-only exposure and prenatal NTP-only exposure.
Methods
We searched Medline, Embase, and PsycINFO databases via OVID for human and animal studies examining the association between prenatal co-exposure and single-substance exposure on neonatal, behavioral, cognitive, and physiological outcomes in offspring.
Results
Of 3217 records identified, 46 articles were included in the review (human, n = 43; preclinical n = 3). For select neonatal outcomes, co-exposed infants exhibited a higher risk of compromised physical development and birth defects relative to infants with single-substance exposure. Behavioral outcomes, particularly emotion regulation/reactivity, and physiological outcomes demonstrated a similar pattern. In contrast, other neonatal outcomes (e.g., preterm birth and respiratory distress), and cognition were similar between the prenatal co-exposure and single-substance exposure groups.
Conclusions
This review suggests additive and/or synergistic adverse consequences associated with co-exposure on several outcomes in offspring relative to single substance exposure. These findings highlight the urgent need for prevention and treatment strategies addressing cannabis and NTP use in pregnant women. We discuss the limitations of the included studies and highlight key areas for future research.
{"title":"A systematic review investigating prenatal cannabis and tobacco co-exposure: Impacts on neonatal, behavioral, cognitive and physiological outcomes","authors":"Mathilde Argote , Leah Hilson , Maryam Sorkhou , Rachel A. Rabin","doi":"10.1016/j.dadr.2025.100376","DOIUrl":"10.1016/j.dadr.2025.100376","url":null,"abstract":"<div><h3>Background</h3><div>Despite the high and increasing rates of cannabis and nicotine/tobacco product (NTP) use during pregnancy, the impact of their combined use on health outcomes in offspring remains poorly understood. Given the growing body of research on prenatal cannabis and NTP co-exposure and its effects on neonatal, behavioral, cognitive, and physiological outcomes in offspring, we conducted a systematic review to synthesize the existing literature and evaluate whether prenatal co-exposure results in additive and/or synergistic adverse effects compared to prenatal cannabis-only exposure and prenatal NTP-only exposure.</div></div><div><h3>Methods</h3><div>We searched Medline, Embase, and PsycINFO databases via OVID for human and animal studies examining the association between prenatal co-exposure and single-substance exposure on neonatal, behavioral, cognitive, and physiological outcomes in offspring.</div></div><div><h3>Results</h3><div>Of 3217 records identified, 46 articles were included in the review (human, n = 43; preclinical n = 3). For select neonatal outcomes, co-exposed infants exhibited a higher risk of compromised physical development and birth defects relative to infants with single-substance exposure. Behavioral outcomes, particularly emotion regulation/reactivity, and physiological outcomes demonstrated a similar pattern. In contrast, other neonatal outcomes (e.g., preterm birth and respiratory distress), and cognition were similar between the prenatal co-exposure and single-substance exposure groups.</div></div><div><h3>Conclusions</h3><div>This review suggests additive and/or synergistic adverse consequences associated with co-exposure on several outcomes in offspring relative to single substance exposure. These findings highlight the urgent need for prevention and treatment strategies addressing cannabis and NTP use in pregnant women. We discuss the limitations of the included studies and highlight key areas for future research.</div></div>","PeriodicalId":72841,"journal":{"name":"Drug and alcohol dependence reports","volume":"17 ","pages":"Article 100376"},"PeriodicalIF":2.9,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145007599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-22DOI: 10.1016/j.dadr.2025.100374
Miguel Antonio Garcia Estrada , Shelby R. Steuart , Christina M. Andrews , Colleen M. Grogan , Olivia M. Hinds , Emily C. Lawler , Felipe Lozano-Rojas , Melissa A. Westlake , Lauren Peterson , Coady Wing , Amanda J. Abraham
Alcohol use disorder (AUD) affects one in ten Americans. As one of the largest payers of AUD treatment in the United States, Medicaid managed care plays a key role in facilitating access to AUD treatment services and medications. However, little is known about how AUD coverage in Medicaid managed care organizations (MCOs) affects treatment receipt. We examined the relationship between the comprehensiveness of Medicaid MCO plan coverage of AUD treatment and receipt of medications for AUD (MAUD). We used Medicaid claims data from Kentucky (2016–2019); our final analytic sample consisted of 202,230 newly enrolled Medicaid beneficiaries. Kentucky quasi-randomly assigns Medicaid beneficiaries to one of five MCO plans with different AUD treatment coverage. We leveraged the random assignment to MCO plans using a Two-Stage Least Squares/Instrumental Variable (TSLS/IV) approach to estimate the effects of MCO plan comprehensiveness on receipt of MAUD. Diagnosis with AUD and receipt of MAUD was relatively uncommon— only 0.5 % of Medicaid beneficiaries were diagnosed with AUD and received MAUD across all plans. Results showed that for each additional AUD treatment modality covered, the probability of receiving MAUD increased by 6.7 % relative to the mean [mean: 0.5 %; difference per additional service/MAUD (in percentage points): 0.033; p < 0.05]. Expanding coverage in the least comprehensive MCO plan to match the most comprehensive plan would increase the probability of receiving MAUD by 47 %. Overall, study findings indicate that when insurance plans cover a broader array of AUD treatment services and medications, patients are more likely to receive MAUD.
{"title":"Relationship between Medicaid coverage design and receipt of medication for alcohol use disorder (MAUD): Probability of receipt increases based on comprehensiveness of plan","authors":"Miguel Antonio Garcia Estrada , Shelby R. Steuart , Christina M. Andrews , Colleen M. Grogan , Olivia M. Hinds , Emily C. Lawler , Felipe Lozano-Rojas , Melissa A. Westlake , Lauren Peterson , Coady Wing , Amanda J. Abraham","doi":"10.1016/j.dadr.2025.100374","DOIUrl":"10.1016/j.dadr.2025.100374","url":null,"abstract":"<div><div>Alcohol use disorder (AUD) affects one in ten Americans. As one of the largest payers of AUD treatment in the United States, Medicaid managed care plays a key role in facilitating access to AUD treatment services and medications. However, little is known about how AUD coverage in Medicaid managed care organizations (MCOs) affects treatment receipt. We examined the relationship between the comprehensiveness of Medicaid MCO plan coverage of AUD treatment and receipt of medications for AUD (MAUD). We used Medicaid claims data from Kentucky (2016–2019); our final analytic sample consisted of 202,230 newly enrolled Medicaid beneficiaries. Kentucky quasi-randomly assigns Medicaid beneficiaries to one of five MCO plans with different AUD treatment coverage. We leveraged the random assignment to MCO plans using a Two-Stage Least Squares/Instrumental Variable (TSLS/IV) approach to estimate the effects of MCO plan comprehensiveness on receipt of MAUD. Diagnosis with AUD and receipt of MAUD was relatively uncommon— only 0.5 % of Medicaid beneficiaries were diagnosed with AUD and received MAUD across all plans. Results showed that for each additional AUD treatment modality covered, the probability of receiving MAUD increased by 6.7 % relative to the mean [mean: 0.5 %; difference per additional service/MAUD (in percentage points): 0.033; p < 0.05]. Expanding coverage in the least comprehensive MCO plan to match the most comprehensive plan would increase the probability of receiving MAUD by 47 %. Overall, study findings indicate that when insurance plans cover a broader array of AUD treatment services and medications, patients are more likely to receive MAUD.</div></div>","PeriodicalId":72841,"journal":{"name":"Drug and alcohol dependence reports","volume":"16 ","pages":"Article 100374"},"PeriodicalIF":2.9,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-20DOI: 10.1016/j.dadr.2025.100375
Audrey Lopez, Audrey Sarah Cohen, Francine Vega, Tiffany Champagne-Langabeer
Introduction
As the prevalence of opioid use disorder (OUD) continues to rise, early detection by medical professionals can often be the first step in linking individuals to treatment. This systematic review was designed to identify implemented OUD screening and assessment tools with studies published from January 2019 through June 2024, uncover common themes associated with implementation, and determine if these tools were recommended in clinical practice.
Methods
A systematic literature search was conducted within PubMed, EMBASE, and Web of Science using the keywords ‘opioid use disorder,’ ‘documentation,’ and ‘screening assessment tool.’ Three investigators independently reviewed titles, abstracts, and full-text articles for inclusion and exclusion criteria and inclusion within the study. The Johns Hopkins Evidence-Based Practice model was used to appraise evidence level, quality, and common themes.
Results
The initial literature search yielded 914 articles for review, with 19 remaining in the final selection. Of the 19 articles, 15 provided quantitative results of an implemented OUD screening or assessment tool, and 4 offered qualitative results about the value of implemented tools within a clinical practice. 15 of the articles recommended a screening or diagnostic assessment tool. Key themes included the insufficiency of a single assessment tool, inconsistent documentation of OUD diagnoses and symptoms, and variable tool completion.
Conclusion
Diagnosing OUD is complex and dynamic. This review highlights the value of screening and assessment tools in identifying individuals and initiating opioid use-related care. Future research should explore implementing artificial intelligence and patient-centered care to assist with OUD screening and assessment.
随着阿片类药物使用障碍(OUD)的患病率持续上升,医疗专业人员的早期发现往往是将个人与治疗联系起来的第一步。本系统评价旨在通过2019年1月至2024年6月发表的研究,确定已实施的OUD筛查和评估工具,揭示与实施相关的共同主题,并确定这些工具是否在临床实践中被推荐。方法以“阿片类药物使用障碍”、“文献”和“筛选评估工具”为关键词,在PubMed、EMBASE和Web of Science中进行系统的文献检索。三位研究者独立审查了标题、摘要和全文文章,以确定纳入和排除标准以及纳入研究。使用约翰霍普金斯循证实践模型来评估证据水平、质量和共同主题。结果初步文献检索共纳入914篇文献,最终纳入19篇文献。在这19篇文章中,15篇提供了实施OUD筛查或评估工具的定量结果,4篇提供了关于实施工具在临床实践中的价值的定性结果。其中15篇文章推荐了筛查或诊断评估工具。主要主题包括单一评估工具的不足,OUD诊断和症状的文件不一致,以及工具完成程度不一。结论超声诊断是一个复杂的动态过程。这篇综述强调了筛选和评估工具在识别个体和启动阿片类药物使用相关护理方面的价值。未来的研究应探索实施人工智能和以患者为中心的护理来协助OUD筛查和评估。
{"title":"Implementation of screening and assessment tools for diagnosing opioid use disorder: A systematic review","authors":"Audrey Lopez, Audrey Sarah Cohen, Francine Vega, Tiffany Champagne-Langabeer","doi":"10.1016/j.dadr.2025.100375","DOIUrl":"10.1016/j.dadr.2025.100375","url":null,"abstract":"<div><h3>Introduction</h3><div>As the prevalence of opioid use disorder (OUD) continues to rise, early detection by medical professionals can often be the first step in linking individuals to treatment. This systematic review was designed to identify implemented OUD screening and assessment tools with studies published from January 2019 through June 2024, uncover common themes associated with implementation, and determine if these tools were recommended in clinical practice.</div></div><div><h3>Methods</h3><div>A systematic literature search was conducted within PubMed, EMBASE, and Web of Science using the keywords ‘opioid use disorder,’ ‘documentation,’ and ‘screening assessment tool.’ Three investigators independently reviewed titles, abstracts, and full-text articles for inclusion and exclusion criteria and inclusion within the study. The Johns Hopkins Evidence-Based Practice model was used to appraise evidence level, quality, and common themes.</div></div><div><h3>Results</h3><div>The initial literature search yielded 914 articles for review, with 19 remaining in the final selection. Of the 19 articles, 15 provided quantitative results of an implemented OUD screening or assessment tool, and 4 offered qualitative results about the value of implemented tools within a clinical practice. 15 of the articles recommended a screening or diagnostic assessment tool. Key themes included the insufficiency of a single assessment tool, inconsistent documentation of OUD diagnoses and symptoms, and variable tool completion.</div></div><div><h3>Conclusion</h3><div>Diagnosing OUD is complex and dynamic. This review highlights the value of screening and assessment tools in identifying individuals and initiating opioid use-related care. Future research should explore implementing artificial intelligence and patient-centered care to assist with OUD screening and assessment.</div></div>","PeriodicalId":72841,"journal":{"name":"Drug and alcohol dependence reports","volume":"16 ","pages":"Article 100375"},"PeriodicalIF":2.9,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-19DOI: 10.1016/j.dadr.2025.100372
Chidimma Doris Azubuike , Oliver Grundmann , Amie J. Goodin
Objective
The certainty of effects on neurodevelopmental outcomes resulting from perinatal cannabis exposure is yet to be established. This review synthesizes current clinical and preclinical evidence on neurodevelopment and related functional outcomes in offspring exposed to cannabis during pregnancy or early childhood. Additionally, gaps in the literature and suggestions to bridge these gaps are provided.
Method
A PubMed database search identified highest level of evidence studies focusing on in utero and early childhood cannabis exposure using keywords broadly describing outcomes alongside informal, spontaneous, and reference searches to supplement search hits. Priority was given to recent clinical studies. Findings were categorized into cognitive measures (memory, attention, and executive functioning), and diagnosis of mental health disorders (including: autism spectrum disorder [ASD], Attention deficit and hyperactivity disorder [ADHD], depression, anxiety, learning delays, and school-related performance). `
Results
Findings on effects on cognition, autism, and learning are not consistent; however, compared to children who were unexposed, prenatally exposed children consistently have higher ADHD risk, and no significant association with anxiety and depression. Exposure to higher concentrations of tetrahydrocannabinol was found to be associated with more aggressive behavior in males compared to females.
Conclusion
Most findings on perinatal cannabis exposure remain inconclusive. To enhance our understanding of associated neurodevelopmental effects, future research should reassess exposure over time, employ standardized cognitive measures, use reliable exposure assessments, and methods that consider cannabis concentration and composition across generations.
{"title":"Neurodevelopmental effects of perinatal exposure to cannabis on progeny: A narrative review","authors":"Chidimma Doris Azubuike , Oliver Grundmann , Amie J. Goodin","doi":"10.1016/j.dadr.2025.100372","DOIUrl":"10.1016/j.dadr.2025.100372","url":null,"abstract":"<div><h3>Objective</h3><div>The certainty of effects on neurodevelopmental outcomes resulting from perinatal cannabis exposure is yet to be established. This review synthesizes current clinical and preclinical evidence on neurodevelopment and related functional outcomes in offspring exposed to cannabis during pregnancy or early childhood. Additionally, gaps in the literature and suggestions to bridge these gaps are provided.</div></div><div><h3>Method</h3><div>A PubMed database search identified highest level of evidence studies focusing on <em>in utero</em> and early childhood cannabis exposure using keywords broadly describing outcomes alongside informal, spontaneous, and reference searches to supplement search hits. Priority was given to recent clinical studies. Findings were categorized into cognitive measures (memory, attention, and executive functioning), and diagnosis of mental health disorders (including: autism spectrum disorder [ASD], Attention deficit and hyperactivity disorder [ADHD], depression, anxiety, learning delays, and school-related performance). `</div></div><div><h3>Results</h3><div>Findings on effects on cognition, autism, and learning are not consistent; however, compared to children who were unexposed, prenatally exposed children consistently have higher ADHD risk, and no significant association with anxiety and depression. Exposure to higher concentrations of tetrahydrocannabinol was found to be associated with more aggressive behavior in males compared to females.</div></div><div><h3>Conclusion</h3><div>Most findings on perinatal cannabis exposure remain inconclusive. To enhance our understanding of associated neurodevelopmental effects, future research should reassess exposure over time, employ standardized cognitive measures, use reliable exposure assessments, and methods that consider cannabis concentration and composition across generations.</div></div>","PeriodicalId":72841,"journal":{"name":"Drug and alcohol dependence reports","volume":"16 ","pages":"Article 100372"},"PeriodicalIF":2.9,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144880318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}