Emerging trends in drugs, addictions, and health最新文献

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Measures of stimulant medications: A population-based study in Alberta, Canada 兴奋剂药物的测量:加拿大艾伯塔省的一项人口研究
Emerging trends in drugs, addictions, and health Pub Date : 2024-09-07 DOI: 10.1016/j.etdah.2024.100159
{"title":"Measures of stimulant medications: A population-based study in Alberta, Canada","authors":"","doi":"10.1016/j.etdah.2024.100159","DOIUrl":"10.1016/j.etdah.2024.100159","url":null,"abstract":"<div><h3>Objectives</h3><div>Stimulants are a class of drugs approved for the treatment of attention-deficit hyperactivity disorder (ADHD) and narcolepsy. However, they are also often used “off-label” as adjunct therapies for the treatment of obesity and depression. The objective of this study is to summarize how stimulant use is globally measured in the literature and to explore rates of stimulant use in Alberta, Canada.</div></div><div><h3>Methods</h3><div>A traditional narrative literature review was conducted to summarize global methods of stimulant assessment. Then using definitions guided by the literature and current regulatory bodies in Alberta, we conducted a series of descriptive analyses to assess how frequent stimulant use was in Alberta patients from 2019 to 2021: 1) number of dispenses by year; 2) average days of drug supply; 3) proportion of days covered (PDC); and 4) defined daily dose (DDDs).</div></div><div><h3>Results</h3><div>In the literature review, the most frequently used measures of stimulant drug use were trends over time (prevalence), types of drug use, and dispensations of prescriptions. In all, there is a global trend of increased use of stimulants among both adults and children. In Alberta, 173,789 patients were prescribed stimulant medication in 2019–2021, representing approximately 4 % of the entire Alberta population. Overall, 61.1 % were between the ages of 10–34 and 46.8 % were female. The number of dispensations rose from 713,896 in 2019 to 973,930 in 2021 – with up to 43 % being lisdexamfetamine stimulant dispenses.</div></div><div><h3>Conclusions</h3><div>Although stimulant use in AB was measured using similar trend estimates as the literature, there is a lack of research to support whether these measures are accurate and effective at the population-level. Future steps to standardize both medical and nonmedical use of prescription stimulants are warranted in efforts to fully quantify both benefits and risks associated with stimulant use.</div></div>","PeriodicalId":72899,"journal":{"name":"Emerging trends in drugs, addictions, and health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667118224000187/pdfft?md5=ad646dc034bb75e07cf7d8d15e1e2ad6&pid=1-s2.0-S2667118224000187-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142310737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ozempic (Glucagon-like peptide 1 receptor agonist) in social media posts: Unveiling user perspectives through Reddit topic modeling 社交媒体帖子中的 Ozempic(胰高血糖素样肽 1 受体激动剂):通过 Reddit 主题建模揭示用户观点
Emerging trends in drugs, addictions, and health Pub Date : 2024-09-03 DOI: 10.1016/j.etdah.2024.100157
{"title":"Ozempic (Glucagon-like peptide 1 receptor agonist) in social media posts: Unveiling user perspectives through Reddit topic modeling","authors":"","doi":"10.1016/j.etdah.2024.100157","DOIUrl":"10.1016/j.etdah.2024.100157","url":null,"abstract":"<div><p>Semaglutide, a Glucagon-like peptide 1 (GLP-1) receptor agonist marketed under the brand name Ozempic, is originally prescribed for diabetes treatment and obesity management. However, healthy individuals without a medical cause use Ozempic without medical supervision to improve their physical appearance - a trend that has proliferated through social media, news coverage, and relevant celebrity endorsements. Thus, exploring social media posts can provide insight into understanding individuals’ experiences, beliefs, motivation, as well as misconceptions about Ozempic. To do so, this study utilizes BERTopic, a natural language processing approach for topic modeling, to analyze 46,491 Reddit posts from three subreddits (r/ozempic, r/ozempicforweightloss, r/semaglutide) dated between April 2019 and December 2023. The analysis revealed various discussion topics, including using Ozempic for weight loss, dosaging, insurance denial due to lack of a diabetes diagnosis, weight loss tracking, and side effect management. Overall, the overarching theme centered on the off-label use of Ozempic and its GLP-1 agonist counterparts for weight loss purposes. Moreover, awareness on the health hazards associated with the off-label and unsupervised use of Ozempic as an image enhancer do not frequently appear in the social media discussions. These findings, supported by a dynamic topic modeling analysis, offer ecological insights into the experiences and opinions of community members in Ozempic-related subreddits, reinforcing the growing evidence of the drug's increasing popularity for weight management as well as the role played by social media. The study also shows how information campaigns about the health risks associated with the off-label use of Ozempic by healthy individuals without a medical cause may help counterbalance the lack of risk awareness detected in social media discussions.</p></div>","PeriodicalId":72899,"journal":{"name":"Emerging trends in drugs, addictions, and health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667118224000163/pdfft?md5=e6446bfde3023bfcb79435aa5d444878&pid=1-s2.0-S2667118224000163-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Parenting style of parents undergoing substance abuse treatment having adolescent children (12–20 years old) referring to addiction treatment clinics in Bojnurd 博伊努尔德戒毒所转诊的有青少年子女(12-20 岁)接受药物滥用治疗的父母的养育方式
Emerging trends in drugs, addictions, and health Pub Date : 2024-09-03 DOI: 10.1016/j.etdah.2024.100158
{"title":"Parenting style of parents undergoing substance abuse treatment having adolescent children (12–20 years old) referring to addiction treatment clinics in Bojnurd","authors":"","doi":"10.1016/j.etdah.2024.100158","DOIUrl":"10.1016/j.etdah.2024.100158","url":null,"abstract":"<div><h3>Background</h3><p>Considering the adverse effect of drug abuse on Parenting, this study was conducted to determine the parenting style of parents undergoing substance abuse treatment who were referred to addiction treatment clinics in Bojnurd in 2021.</p></div><div><h3>Methods</h3><p>The type of cross-sectional study was descriptive-analytical. The sample size was 360 parents with adolescent children (12–20 years old) undergoing substance abuse treatment who were included in the study by simple random sampling. A two-part questionnaire, including personal characteristics questions and Bamrind's parenting style questionnaire, was used to collect information. Data analysis was done using SPSS 23 software with parametric T-test, ANOVA, and non-parametric equivalent tests of Spearman's correlation at a significance level of 0.05.</p></div><div><h3>Results</h3><p>The average score of permissive, authoritarian, and authoritative parenting styles was (16.15±5.92), (18±6.34) and (24.89±7.09) respectively. Men used permissive and authoritarian parenting styles significantly more than women. The people living in the village, compared to the city residents, and the people in the Turkish and Kurdish ethnicities, compared to Fars, significantly used authoritarian parenting style more. People using opioids significantly less preferred the permissive method and the authoritarian method compared to stimulant drug users and simultaneous users of stimulant and opioid drugs.</p></div><div><h3>Conclusion</h3><p>Children of parents with substance abuse disorders are at risk of various adverse consequences, and it seems that inconsistent behavior of parents is an essential cause of this risk; therefore, the need for public education regarding Parenting, especially in addicted parents, is raised.</p></div>","PeriodicalId":72899,"journal":{"name":"Emerging trends in drugs, addictions, and health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667118224000175/pdfft?md5=7f16a6df257e78bc70849d8666a8113e&pid=1-s2.0-S2667118224000175-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142164651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A QSAR-based application for the prediction of lethal blood concentration of new psychoactive substances 基于 QSAR 的新型精神活性物质致死血药浓度预测应用程序
Emerging trends in drugs, addictions, and health Pub Date : 2024-07-24 DOI: 10.1016/j.etdah.2024.100156
{"title":"A QSAR-based application for the prediction of lethal blood concentration of new psychoactive substances","authors":"","doi":"10.1016/j.etdah.2024.100156","DOIUrl":"10.1016/j.etdah.2024.100156","url":null,"abstract":"<div><p>The rapid development and introduction of new psychoactive substances (NPS) into illegal markets present an enormous challenge for forensic toxicologists, as there is limited knowledge about their toxicity in humans. To strengthen forensic interpretation of NPS intoxication cases, we have developed a predictive model for estimating human lethal blood concentrations (LBC) of various NPS. This quantitative structure-activity relationship (QSAR) model focuses on opioids, designer benzodiazepines, synthetic cathinones, synthetic cannabinoids, and phenethylamines. Utilising linear regression and multilayer perceptron algorithms, the models was trained using data from the existing literature. A toxicological significance-based approach have been applied to refine the selection of training data. The model demonstrated satisfactory performance metrics through cross-validation (<em>R</em> ≈ 0.8, MAE ≈ 0.6) and comparison with experimental data (<em>R</em> ≈ 0.9). A Python-based web application have been developed to facilite the use of the created model in predicting LBC of NPS. Despite the model's reliability, limitations due to data availability, quality and the complexities of <em>post-mortem</em> toxicology mean that its predictions should be interpreted with caution.</p></div>","PeriodicalId":72899,"journal":{"name":"Emerging trends in drugs, addictions, and health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667118224000151/pdfft?md5=2719b77e6514717fbfe2a068903f6205&pid=1-s2.0-S2667118224000151-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141848388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Depressive symptoms among cigarette smokers and non-smokers during the first wave of COVID-19 pandemic: Preliminary findings from Bangladeshi male university students COVID-19 第一波流行期间吸烟者和非吸烟者的抑郁症状:孟加拉国男大学生的初步调查结果
Emerging trends in drugs, addictions, and health Pub Date : 2024-06-22 DOI: 10.1016/j.etdah.2024.100155
Achiya Khanom , Most. Zannatul Ferdous , Md. Saiful Islam , Ummay Soumayia Islam , Hailay Abrha Gesesew , Paul R Ward
{"title":"Depressive symptoms among cigarette smokers and non-smokers during the first wave of COVID-19 pandemic: Preliminary findings from Bangladeshi male university students","authors":"Achiya Khanom ,&nbsp;Most. Zannatul Ferdous ,&nbsp;Md. Saiful Islam ,&nbsp;Ummay Soumayia Islam ,&nbsp;Hailay Abrha Gesesew ,&nbsp;Paul R Ward","doi":"10.1016/j.etdah.2024.100155","DOIUrl":"https://doi.org/10.1016/j.etdah.2024.100155","url":null,"abstract":"<div><p>University students may be particularly vulnerable to develop mental disorders, including depression, due to sudden and unexpected changes in their daily life during the COVID-19 pandemic. The present study aimed to assess depression among male smokers and non-smokers university students during the first wave of COVID-19 in Bangladesh. A web-based cross-sectional survey was conducted among 444 university male students using convenient and snowball sampling with a 1:1 ratio of male smokers and non-smokers from July to October, 2020. The prevalence estimates of moderate to severe depression were 53.6 % and 22.1 %, respectively among male smokers and non-smokers with an overall prevalence rate of 37.9 %. The participants who smoked cigarette were 4.05 times more likely to have depression compared to those who did not smoke (AOR = 4.05; 95 % CI = 2.60–6.30, <em>p</em> &lt; 0.001). The following factors were found to be associated with depression: being smokers, having family members who lost jobs due to the impact of COVID-19, and having food scarcity due to COVID-19. The findings suggest mental health awareness and psychosocial support programs with a special focus on quitting smoking behavior among university students.</p></div>","PeriodicalId":72899,"journal":{"name":"Emerging trends in drugs, addictions, and health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266711822400014X/pdfft?md5=9271e9142d5190b74b8de8b5fdf5003d&pid=1-s2.0-S266711822400014X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141480160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Linking online activity to offline behavior: A meta-review of three decades of online-to-offline scholarship with future implications for AI 将线上活动与线下行为联系起来:从线上到线下三十年学术研究的元回顾及对人工智能的未来影响
Emerging trends in drugs, addictions, and health Pub Date : 2024-05-31 DOI: 10.1016/j.etdah.2024.100154
{"title":"Linking online activity to offline behavior: A meta-review of three decades of online-to-offline scholarship with future implications for AI","authors":"","doi":"10.1016/j.etdah.2024.100154","DOIUrl":"10.1016/j.etdah.2024.100154","url":null,"abstract":"<div><p>As society grapples with the emerging significance and implications of Large Language Models (LLMs), such as OpenAI’s ChatGPT, or Google’s Gemini, as well as other advancements in modern generative Artificial Intelligence (AI), it is crucial to recognize the existing role that data, algorithms, and online social networks have already played in shaping our contemporary society. This review article provides the first comprehensive examination of the current state of knowledge, across disciplinary divides, on how online influences impact offline behaviors, laying the necessary groundwork for investigating and researching the potential impact that these new technologies will have on our “offline” lives. Through a deep-dive collection of articles (<span><math><mrow><mi>n</mi><mo>=</mo><mn>149</mn></mrow></math></span>), we review and analyze research with measurable Online-to-Offline impacts (<span><math><mrow><mi>n</mi><mo>=</mo><mn>88</mn></mrow></math></span>). Within this Online-to-Offline criteria, we identify five emergent cross-cutting themes, namely: Social Diffusion, Social Reinforcement, Social Boundary &amp; Identity Maintenance, Cognitive and Attitudinal Research, and Research on Vulnerable &amp; Marginalized Impacts. Through a second wave snowball collection process, we construct a citation network from the broader Online and Offline research literature, allowing us to locate the Online-to-Offline subset as part of a larger intellectual discussion. Finally, we conduct a Term Frequency-Inverse Document Frequency (TF-IDF) analysis of terms used in the titles of these online/offline research papers, from 1990 to 2023, to identify the evolution of researchers’ conceptualization and framing of Online and Offline research across the past 30 years. The meta-review, presentation of high-level cross-cutting interdisciplinary themes, co-citation network analysis, and TF-IDF analysis collectively provide a cohesive and deeper understanding of the research space of online/offline influences. By taking stock of the ways in which online factors have already shaped individual, group, or organizational behaviors and social dynamics broadly in “offline” contexts, this work aims to provide a cohesive theoretical and empirical foundation for future researchers to better anticipate, address, and frame the future consequences of the rapidly evolving digitally influenced landscape we find ourselves in today.</p></div>","PeriodicalId":72899,"journal":{"name":"Emerging trends in drugs, addictions, and health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667118224000138/pdfft?md5=9ba395fcc98bd7c7899f763a5189485f&pid=1-s2.0-S2667118224000138-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142048425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Impact of online psychological services on academic achievement and COVID-19 fear in students with addicted parents 在线心理服务对父母吸毒成瘾学生学习成绩和 COVID-19 恐惧的影响
Emerging trends in drugs, addictions, and health Pub Date : 2024-05-24 DOI: 10.1016/j.etdah.2024.100153
Hamid Heydari , Nooshin Pordelan , Simin Hosseinian , Masoud Safaei , Mohammad Khorrami
{"title":"Impact of online psychological services on academic achievement and COVID-19 fear in students with addicted parents","authors":"Hamid Heydari ,&nbsp;Nooshin Pordelan ,&nbsp;Simin Hosseinian ,&nbsp;Masoud Safaei ,&nbsp;Mohammad Khorrami","doi":"10.1016/j.etdah.2024.100153","DOIUrl":"10.1016/j.etdah.2024.100153","url":null,"abstract":"<div><h3>Background</h3><p>The use of online psychological services has shown potential in alleviating mental health concerns during the coronavirus epidemic. This study aimed to investigate the effects of online psychological services on COVID-19 fear and academic achievement among students with addicted parents.</p></div><div><h3>Methods</h3><p>The current study is a quasi-experimental study with pretest, posttest, and control group. The statistical population of this study included all male and female students in Tehran province in 2022. In order to select the sample, the call to participate in the study was made by the social media (Telegram, WhatsApp, Instagram, LinkedIn) for two months. Then, corona fear questionnaire link was sent to the email addresses of the respondents and 120 students who met the inclusion criteria were selected as the sample of the study. In the next stage, 120 students were randomly assigned in the experimental and control groups. After 8 online sessions, 4 students from the experimental group and 5 students from the control group ended their cooperation due to personal reasons and as a result, 56 and 55 students constituted the experimental and control groups, respectively.</p></div><div><h3>Results</h3><p>The results indicated a significant increase in academic achievement for students in the experimental group post-intervention compared to the control group. Additionally, online psychological services appeared to mitigate COVID-19 related fears.</p></div><div><h3>Conclusion</h3><p>This study suggests that online psychological services play a pivotal role in enhancing student's mental well-being during the COVID-19 epidemic.</p></div>","PeriodicalId":72899,"journal":{"name":"Emerging trends in drugs, addictions, and health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667118224000126/pdfft?md5=2beed4c2a78fe31cc25b64c5b85dca5d&pid=1-s2.0-S2667118224000126-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141143271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Feasibility of a pioneer social service treatment for gambling disorder—The first 6-month follow-up data 针对赌博障碍的先驱性社会服务疗法的可行性 - 首批 6 个月随访数据
Emerging trends in drugs, addictions, and health Pub Date : 2024-05-24 DOI: 10.1016/j.etdah.2024.100152
C. Grudet , G. Åkesson , K. Wennerstrand , A. Håkansson
{"title":"Feasibility of a pioneer social service treatment for gambling disorder—The first 6-month follow-up data","authors":"C. Grudet ,&nbsp;G. Åkesson ,&nbsp;K. Wennerstrand ,&nbsp;A. Håkansson","doi":"10.1016/j.etdah.2024.100152","DOIUrl":"10.1016/j.etdah.2024.100152","url":null,"abstract":"<div><p>Gambling disorder can be treated with cognitive behavioral therapy (CBT), but treatment is under-dimensioned in many settings. For example, in Sweden, a setting with mixed responsibility for addiction treatment between health care and social services, treatment for gambling disorder has only recently been introduced in the responsibilities of public institutions. After the introduction of gambling in treatment legislation in 2018, few studies have assessed the real-world feasibility of such treatment. In addition, treatment in social services specifically has not been documented or evaluated, and therefore, in a pioneer gambling treatment facility in such a setting, this study aimed to investigate treatment outcome in patients with gambling disorder six months after completed CBT treatment within a social service setting. Twenty patients receiving CBT treatment during 2018–2020 were followed with respect to gambling habits at end of treatment and at follow-up six months after treatment. The National Opinion Research Center DSM Screen for Gambling Problems (NODS) was used as screening tool. Rates of gambling abstinence, as well as subjective experience of the treatment, are reported. Ninety percent of the patients were abstinent from gambling at six-month follow-up, and 95 percent of the patients no longer fulfilled criteria of a gambling disorder. In conclusion, these pilot results suggest that CBT treatment is a feasible method for treatment of gambling disorder also in a social service setting. However, due to the limited sample size of this pilot study, and the limited background information of clients who could not be reached, future studies with larger sample sizes are needed.</p></div>","PeriodicalId":72899,"journal":{"name":"Emerging trends in drugs, addictions, and health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667118224000114/pdfft?md5=a1b31407e19c27c5580c1c6a2c18075d&pid=1-s2.0-S2667118224000114-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141133985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Introducing NewAddictionsX: A gateway to accelerated knowledge exchange in new and emerging addictions 介绍 NewAddictionsX:加速新兴成瘾领域知识交流的通道
Emerging trends in drugs, addictions, and health Pub Date : 2024-05-04 DOI: 10.1016/j.etdah.2024.100151
Gianluca Esposito
{"title":"Introducing NewAddictionsX: A gateway to accelerated knowledge exchange in new and emerging addictions","authors":"Gianluca Esposito","doi":"10.1016/j.etdah.2024.100151","DOIUrl":"https://doi.org/10.1016/j.etdah.2024.100151","url":null,"abstract":"","PeriodicalId":72899,"journal":{"name":"Emerging trends in drugs, addictions, and health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667118224000102/pdfft?md5=bbd79f078a06b422fa7d5bb1fbb8f600&pid=1-s2.0-S2667118224000102-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140951905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A cross-sectional analysis of TikTok autism spectrum disorder content quality 对 TikTok 自闭症谱系障碍内容质量的横向分析
Emerging trends in drugs, addictions, and health Pub Date : 2024-04-27 DOI: 10.1016/j.etdah.2024.100150
Emma Brown , Faith Kuzmiak , Aakanksha Singh , Varun Monga , Theodore Bell , Jessica Nolan , Melissa Schlenker , Joan Moore , Rahul Kashyap
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