{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T06:28:22Z","timestamp":1775197702894,"version":"3.50.1"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Yunnan Technological Innovation Center of Drug Addiction Medicine","award":["202305AK340001"],"award-info":[{"award-number":["202305AK340001"]}]},{"name":"Yunnan Technological Innovation Center of Drug Addiction Medicine","award":["202305AK340001"],"award-info":[{"award-number":["202305AK340001"]}]},{"name":"Yunnan Technological Innovation Center of Drug Addiction Medicine","award":["202305AK340001"],"award-info":[{"award-number":["202305AK340001"]}]},{"name":"Yunnan Technological Innovation Center of Drug Addiction Medicine","award":["202305AK340001"],"award-info":[{"award-number":["202305AK340001"]}]},{"name":"Yunnan Technological Innovation Center of Drug Addiction Medicine","award":["202305AK340001"],"award-info":[{"award-number":["202305AK340001"]}]},{"name":"Yunnan Technological Innovation Center of Drug Addiction Medicine","award":["202305AK340001"],"award-info":[{"award-number":["202305AK340001"]}]},{"name":"Yunnan Technological Innovation Center of Drug Addiction Medicine","award":["202305AK340001"],"award-info":[{"award-number":["202305AK340001"]}]},{"name":"Yunnan Technological Innovation Center of Drug Addiction Medicine","award":["202305AK340001"],"award-info":[{"award-number":["202305AK340001"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-025-06154-y","type":"journal-article","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T09:28:33Z","timestamp":1754558913000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Explainable illicit drug abuse prediction using hematological differences"],"prefix":"10.1038","volume":"15","author":[{"given":"Aijun","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinchu","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinhui","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaxue","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinze","family":"Du","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deshenyue","family":"Kong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,8,7]]},"reference":[{"key":"6154_CR1","doi-asserted-by":"publisher","first-page":"e2215425","DOI":"10.1001\/jamanetworkopen.2022.15425","volume":"5","author":"P Whitley","year":"2022","unstructured":"Whitley, P. et al. Analysis of urine drug test results from substance use disorder treatment practices and overdose mortality rates, 2013\u20132020. JAMA Netw. Open 5, e2215425\u2013e2215425. https:\/\/doi.org\/10.1001\/jamanetworkopen.2022.15425 (2022).","journal-title":"JAMA Netw. Open"},{"key":"6154_CR2","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1038\/s41398-021-01542-0","volume":"11","author":"J Cheron","year":"2021","unstructured":"Cheron, J. & Kerchove d\u2019Exaerde, A. D. Drug addiction: from bench to bedside. Transl. Psychiatr. 11, 424. https:\/\/doi.org\/10.1038\/s41398-021-01542-0 (2021).","journal-title":"Transl. Psychiatr."},{"key":"6154_CR3","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1177\/00031348221148371","volume":"89","author":"JN Bates","year":"2023","unstructured":"Bates, J. N. et al. Post-operative order set decreases opioid prescriptions and increases efficiency. Am. Surg. 89, 539\u2013545. https:\/\/doi.org\/10.1177\/00031348221148371 (2023).","journal-title":"Am. Surg."},{"key":"6154_CR4","doi-asserted-by":"publisher","first-page":"143","DOI":"10.24875\/ric.23000110","volume":"75","author":"MI Paz-Ramos","year":"2023","unstructured":"Paz-Ramos, M. I., Cruz, S. L. & Violante-Soria, V. Amphetamine-type stimulants: novel insights into their actions and use patterns. Rev. Invest. Clin. 75, 143\u2013157. https:\/\/doi.org\/10.24875\/ric.23000110 (2023).","journal-title":"Rev. Invest. Clin."},{"key":"6154_CR5","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1007\/s00127-017-1398-5","volume":"52","author":"KS Kendler","year":"2017","unstructured":"Kendler, K. S., Ohlsson, H., Sundquist, K. & Sundquist, J. Drug abuse-associated mortality across the lifespan: a population-based longitudinal cohort and co-relative analysis. Soc. Psychiatry Psychiatr. Epidemiol. 52, 877\u2013886. https:\/\/doi.org\/10.1007\/s00127-017-1398-5 (2017).","journal-title":"Soc. Psychiatry Psychiatr. Epidemiol."},{"key":"6154_CR6","doi-asserted-by":"publisher","first-page":"706","DOI":"10.1111\/j.1360-0443.2006.01397.x","volume":"101","author":"IR Rockett","year":"2006","unstructured":"Rockett, I. R., Putnam, S. L., Jia, H. & Smith, G. S. Declared and undeclared substance use among emergency department patients: a population-based study. Addiction 101, 706\u2013712. https:\/\/doi.org\/10.1111\/j.1360-0443.2006.01397.x (2006).","journal-title":"Addiction"},{"key":"6154_CR7","doi-asserted-by":"publisher","first-page":"940","DOI":"10.3390\/diagnostics13050940","volume":"13","author":"L Dragomir","year":"2023","unstructured":"Dragomir, L., Marina, V., Anghele, M., Anghele, A.-D. & Moscu, C. A. Incidence of intoxications in the emergency department of galati hospital with examples of cardiovascular effects of mdma intoxication. Diagnostics 13, 940. https:\/\/doi.org\/10.3390\/diagnostics13050940 (2023).","journal-title":"Diagnostics"},{"key":"6154_CR8","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1093\/jat\/bkab075","volume":"46","author":"M Farley","year":"2022","unstructured":"Farley, M. et al. A single method for 127 recommended and additional DUID drugs in blood and urine by LC-MS-MS. J. Anal. Toxicol. 46, 658\u2013669. https:\/\/doi.org\/10.1093\/jat\/bkab075 (2022).","journal-title":"J. Anal. Toxicol."},{"key":"6154_CR9","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1111\/1556-4029.14179","volume":"65","author":"Y Zhuo","year":"2020","unstructured":"Zhuo, Y. et al. Simultaneous quantitative determination of amphetamines, opiates, ketamine, cocaine and metabolites in human hair: application to forensic cases of drug abuse. J. Forensic Sci. 65, 563\u2013569. https:\/\/doi.org\/10.1111\/1556-4029.14179 (2020).","journal-title":"J. Forensic Sci."},{"key":"6154_CR10","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1080\/10550887.2010.509277","volume":"29","author":"PL Tenore","year":"2010","unstructured":"Tenore, P. L. Advanced urine toxicology testing. J. Addict. Dis. 29, 436\u2013448. https:\/\/doi.org\/10.1080\/10550887.2010.509277 (2010).","journal-title":"J. Addict. Dis."},{"key":"6154_CR11","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1016\/j.forsciint.2015.01.004","volume":"248","author":"MKK Nielsen","year":"2015","unstructured":"Nielsen, M. K. K., Johansen, S. S. & Linnet, K. Evaluation of poly-drug use in methadone-related fatalities using segmental hair analysis. Forensic Sci. Int. 248, 134\u2013139. https:\/\/doi.org\/10.1016\/j.forsciint.2015.01.004 (2015).","journal-title":"Forensic Sci. Int."},{"key":"6154_CR12","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1016\/j.jflm.2012.10.005","volume":"20","author":"HJ Burch","year":"2013","unstructured":"Burch, H. J., Clarke, E. J., Hubbard, A. M. & Scott-Ham, M. Concentrations of drugs determined in blood samples collected from suspected drugged drivers in England and Wales. J. Forensic Leg. Med. 20, 278\u2013289. https:\/\/doi.org\/10.1016\/j.jflm.2012.10.005 (2013).","journal-title":"J. Forensic Leg. Med."},{"key":"6154_CR13","doi-asserted-by":"publisher","first-page":"1562","DOI":"10.3390\/diagnostics11091562","volume":"11","author":"Y Li","year":"2021","unstructured":"Li, Y. et al. A method for detecting and analyzing facial features of people with drug use disorders. Diagnostics 11, 1562. https:\/\/doi.org\/10.3390\/diagnostics11091562 (2021).","journal-title":"Diagnostics"},{"key":"6154_CR14","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1097\/ADM.0000000000000259","volume":"10","author":"N Simonovska","year":"2016","unstructured":"Simonovska, N. et al. Influence of duration of heroin dependence on humoral immunologic indicators. J. Addict. Med. 10, 448\u2013452. https:\/\/doi.org\/10.1097\/ADM.0000000000000259 (2016).","journal-title":"J. Addict. Med."},{"key":"6154_CR15","doi-asserted-by":"publisher","first-page":"113553","DOI":"10.1016\/j.jpba.2020.113553","volume":"190","author":"Z Guleken","year":"2020","unstructured":"Guleken, Z. et al. Investigation of the discrimination and characterization of blood serum structure in patients with opioid use disorder using ir spectroscopy and pca-lda analysis. J. Pharm. Biomed. Anal. 190, 113553. https:\/\/doi.org\/10.1016\/j.jpba.2020.113553 (2020).","journal-title":"J. Pharm. Biomed. Anal."},{"key":"6154_CR16","doi-asserted-by":"publisher","first-page":"835","DOI":"10.1007\/s12011-017-0995-1","volume":"63","author":"D Ciubotariu","year":"2015","unstructured":"Ciubotariu, D. et al. Experimental research showing the beneficial effect of oral zinc administration in opioid tolerance. Farmacia 63, 835\u2013839. https:\/\/doi.org\/10.1007\/s12011-017-0995-1 (2015).","journal-title":"Farmacia"},{"key":"6154_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13011-015-0025-2","volume":"10","author":"D Ciubotariu","year":"2015","unstructured":"Ciubotariu, D., Ghiciuc, C. M. & Lupu\u015foru, C. E. Zinc involvement in opioid addiction and analgesia-should zinc supplementation be recommended for opioid-treated persons?. Substance abuse treatment, prevention, and policy 10, 1\u201314. https:\/\/doi.org\/10.1186\/s13011-015-0025-2 (2015).","journal-title":"Substance abuse treatment, prevention, and policy"},{"key":"6154_CR18","doi-asserted-by":"publisher","first-page":"37","DOI":"10.32725\/jab.2005.004","volume":"3","author":"J Estevez","year":"2005","unstructured":"Estevez, J. et al. Biochemical and haematological differentiation of opiate addicts from healthy subjects. A case control study. J. Appl. Biomed. 3, 37\u201346. https:\/\/doi.org\/10.32725\/jab.2005.004 (2005).","journal-title":"J. Appl. Biomed."},{"key":"6154_CR19","doi-asserted-by":"publisher","DOI":"10.5812\/zjrms-122931","author":"SM Hashemi","year":"2023","unstructured":"Hashemi, S. M., Bakhshipour, A. & Rafaiee, R. A comparison of blood indices in orally and inhaled opium addicts with non-addict healthy control. Zahedan J. Res. Med. Sci. https:\/\/doi.org\/10.5812\/zjrms-122931 (2023).","journal-title":"Zahedan J. Res. Med. Sci."},{"key":"6154_CR20","doi-asserted-by":"publisher","first-page":"34","DOI":"10.26226\/morressier.597eedbed462b80296ca155e","volume":"31","author":"B Demir","year":"2021","unstructured":"Demir, B., Sahin, S. K., Ozsoy, F., Altindag, A. & Elboga, G. Neutrophil-lymphocyte ratio and platelet-lymphocyte ratio in methamphetamine use disorder. Psychiatr. Clin. Psychopharmacol. 31, 34\u201339. https:\/\/doi.org\/10.26226\/morressier.597eedbed462b80296ca155e (2021).","journal-title":"Psychiatr. Clin. Psychopharmacol."},{"key":"6154_CR21","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1017\/neu.2023.11","volume":"36","author":"GA Funchal","year":"2024","unstructured":"Funchal, G. A. et al. Cocaine-use disorder and childhood maltreatment are associated with the activation of neutrophils and increased inflammation. Acta Neuropsychiatr. 36, 97\u2013108. https:\/\/doi.org\/10.1017\/neu.2023.11 (2024).","journal-title":"Acta Neuropsychiatr."},{"key":"6154_CR22","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1007\/s13318-021-00748-3","volume":"47","author":"N Kaboudi","year":"2022","unstructured":"Kaboudi, N. & Shayanfar, A. Predicting the drug clearance pathway with structural descriptors. Eur. J. Drug Metab. Pharmacokinet. 47, 363\u2013369 (2022).","journal-title":"Eur. J. Drug Metab. Pharmacokinet."},{"key":"6154_CR23","volume":"12","author":"N Kaboudi","year":"2024","unstructured":"Kaboudi, N. et al. Diagnostic accuracy of ChatGPT for patients\u2019 triage; a systematic review and meta-analysis. Archiv. Acad. Emerg. Med. 12, e60 (2024).","journal-title":"Archiv. Acad. Emerg. Med."},{"key":"6154_CR24","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1109\/JBHI.2022.3216055","volume":"27","author":"Z Peng","year":"2022","unstructured":"Peng, Z. et al. A continuous late-onset sepsis prediction algorithm for preterm infants using multi-channel physiological signals from a patient monitor. IEEE J. Biomed. Health Inform. 27, 550\u2013561. https:\/\/doi.org\/10.1109\/JBHI.2022.3216055 (2022).","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"6154_CR25","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1109\/JBHI.2022.3211765","volume":"27","author":"H Yao","year":"2022","unstructured":"Yao, H. et al. A novel tropical geometry-based interpretable machine learning method: pilot application to delivery of advanced heart failure therapies. IEEE J. Biomed. Health Inform. 27, 239\u2013250. https:\/\/doi.org\/10.1109\/JBHI.2022.3211765 (2022).","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"6154_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.eclinm.2023.102409","author":"J Hu","year":"2024","unstructured":"Hu, J. et al. Identification and validation of an explainable prediction model of acute kidney injury with prognostic implications in critically ill children: a prospective multicenter cohort study. EClin. Med. https:\/\/doi.org\/10.1016\/j.eclinm.2023.102409 (2024).","journal-title":"EClin. Med."},{"key":"6154_CR27","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1089\/thy.2016.0197","volume":"27","author":"S Malhotra","year":"2017","unstructured":"Malhotra, S., Heptulla, R. A., Homel, P. & Motaghedi, R. Effect of marijuana use on thyroid function and autoimmunity. Thyroid 27, 167\u2013173. https:\/\/doi.org\/10.1089\/thy.2016.0197 (2017).","journal-title":"Thyroid"},{"key":"6154_CR28","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1016\/j.bdr.2015.12.001","volume":"5","author":"Q Zou","year":"2016","unstructured":"Zou, Q., Xie, S., Lin, Z., Wu, M. & Ju, Y. Finding the best classification threshold in imbalanced classification. Big Data Res. 5, 2\u20138. https:\/\/doi.org\/10.1016\/j.bdr.2015.12.001 (2016).","journal-title":"Big Data Res."},{"key":"6154_CR29","unstructured":"Lundberg, S. & Lee, S. A unified approach to interpreting model predictions. nips\u201917: Proceedings of the 31st international conference on neural information processing systems. December 2017 [Cited 2021 Jul 20]. arxiv:1705.07874 (2017)."},{"key":"6154_CR30","doi-asserted-by":"publisher","first-page":"1540","DOI":"10.1093\/jamia\/ocae114","volume":"31","author":"M Kim","year":"2024","unstructured":"Kim, M. et al. Acute myocardial infarction prognosis prediction with reliable and interpretable artificial intelligence system. J. Am. Med. Inform. Assoc. 31, 1540\u20131550. https:\/\/doi.org\/10.1093\/jamia\/ocae114 (2024).","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"6154_CR31","doi-asserted-by":"publisher","unstructured":"Yadav, D. et al. Effect of illicit drug abuse on face recognition. in 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1\u20137, https:\/\/doi.org\/10.1109\/WACV.2016.7477556 (IEEE, 2016).","DOI":"10.1109\/WACV.2016.7477556"},{"key":"6154_CR32","doi-asserted-by":"publisher","unstructured":"Gnanasekar, S.\u00a0T. & Yanushkevich, S. Face attributes and detection of drug addicts. in 2019 Eighth International Conference on Emerging Security Technologies (EST), 1\u20136, https:\/\/doi.org\/10.1109\/EST.2019.8806203 (IEEE, 2019).","DOI":"10.1109\/EST.2019.8806203"},{"key":"6154_CR33","doi-asserted-by":"publisher","unstructured":"Pandey, P., Singh, R. & Vatsa, M. Face recognition using scattering wavelet under illicit drug abuse variations. In 2016 International Conference on Biometrics (ICB), 1\u20136, https:\/\/doi.org\/10.1109\/ICB.2016.7550091 (IEEE, 2016).","DOI":"10.1109\/ICB.2016.7550091"},{"key":"6154_CR34","doi-asserted-by":"publisher","first-page":"115191","DOI":"10.1016\/j.biopha.2023.115191","volume":"165","author":"K Li","year":"2023","unstructured":"Li, K., Wang, W.-H., Wu, J.-B. & Xiao, W.-H. B-hydroxybutyrate: a crucial therapeutic target for diverse liver diseases. Biomed Pharmacother 165, 115191. https:\/\/doi.org\/10.1016\/j.biopha.2023.115191 (2023).","journal-title":"Biomed Pharmacother"},{"key":"6154_CR35","doi-asserted-by":"publisher","first-page":"1250","DOI":"10.1074\/jbc.m112.369132","volume":"288","author":"P Alapatt","year":"2013","unstructured":"Alapatt, P. et al. Liver retinol transporter and receptor for serum retinol-binding protein (rbp4). J. Biol. Chem. 288, 1250\u20131265. https:\/\/doi.org\/10.1074\/jbc.m112.369132 (2013).","journal-title":"J. Biol. Chem."},{"key":"6154_CR36","doi-asserted-by":"publisher","first-page":"646","DOI":"10.3945\/ajcn.114.086603","volume":"101","author":"KE Christensen","year":"2015","unstructured":"Christensen, K. E. et al. High folic acid consumption leads to pseudo-MTHFR deficiency, altered lipid metabolism, and liver injury in mice. Am. J. Clin. Nutr. 101, 646\u2013658. https:\/\/doi.org\/10.3945\/ajcn.114.086603 (2015).","journal-title":"Am. J. Clin. Nutr."},{"key":"6154_CR37","doi-asserted-by":"publisher","first-page":"836","DOI":"10.1161\/HYPERTENSIONAHA.113.01793","volume":"62","author":"L McCallum","year":"2013","unstructured":"McCallum, L. et al. Serum chloride is an independent predictor of mortality in hypertensive patients. Hypertension 62, 836\u2013843. https:\/\/doi.org\/10.1161\/HYPERTENSIONAHA.113.01793 (2013).","journal-title":"Hypertension"},{"key":"6154_CR38","doi-asserted-by":"publisher","first-page":"534","DOI":"10.1053\/j.ajkd.2014.05.008","volume":"64","author":"TH Driver","year":"2014","unstructured":"Driver, T. H. et al. Low serum bicarbonate and kidney function decline: the multi-ethnic study of atherosclerosis (mesa). Am. J. Kidney Dis. 64, 534\u2013541. https:\/\/doi.org\/10.1053\/j.ajkd.2014.05.008 (2014).","journal-title":"Am. J. Kidney Dis."},{"key":"6154_CR39","doi-asserted-by":"publisher","first-page":"1182657","DOI":"10.3389\/fpsyt.2023.1182657","volume":"14","author":"H Liang","year":"2023","unstructured":"Liang, H., Wang, J.-M., Wei, X.-Q., Su, X.-Q. & Zhang, B.-X. Thyroid function, renal function, and depression: an association study. Front. Psychol. 14, 1182657. https:\/\/doi.org\/10.3389\/fpsyt.2023.1182657 (2023).","journal-title":"Front. Psychol."},{"key":"6154_CR40","doi-asserted-by":"publisher","first-page":"987","DOI":"10.1016\/S2215-0366(18)30337-7","volume":"5","author":"L Degenhardt","year":"2018","unstructured":"Degenhardt, L. et al. The global burden of disease attributable to alcohol and drug use in 195 countries and territories, 1990\u20132016: a systematic analysis for the global burden of disease study 2016. Lancet Psychiatr. 5, 987\u20131012. https:\/\/doi.org\/10.1016\/S2215-0366(18)30337-7 (2018).","journal-title":"Lancet Psychiatr."},{"key":"6154_CR41","doi-asserted-by":"publisher","first-page":"993","DOI":"10.2215\/CJN.11121017","volume":"13","author":"JD Bundy","year":"2018","unstructured":"Bundy, J. D. et al. Self-reported tobacco, alcohol, and illicit drug use and progression of chronic kidney disease. Clin. J. Am. Soc. Nephrol. 13, 993\u20131001. https:\/\/doi.org\/10.2215\/CJN.11121017 (2018).","journal-title":"Clin. J. Am. Soc. Nephrol."},{"key":"6154_CR42","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1016\/s2213-8587(19)30410-3","volume":"8","author":"A Pastor","year":"2020","unstructured":"Pastor, A., Conn, J., MacIsaac, R. J. & Bonomo, Y. Alcohol and illicit drug use in people with diabetes. Lancet Diabet. Endocrinol. 8, 239\u2013248. https:\/\/doi.org\/10.1016\/s2213-8587(19)30410-3 (2020).","journal-title":"Lancet Diabet. Endocrinol."},{"key":"6154_CR43","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.cbi.2015.09.018","volume":"255","author":"DN Roy","year":"2016","unstructured":"Roy, D. N. & Goswami, R. Drugs of abuse and addiction: a slippery slope toward liver injury. Chem. Biol. Interact. 255, 92\u2013105. https:\/\/doi.org\/10.1016\/j.cbi.2015.09.018 (2016).","journal-title":"Chem. Biol. Interact."}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-06154-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-06154-y","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-06154-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T15:10:22Z","timestamp":1757344222000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-06154-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"references-count":43,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["6154"],"URL":"https:\/\/doi.org\/10.1038\/s41598-025-06154-y","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,7]]},"assertion":[{"value":"5 November 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 June 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 August 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"The study was approved by the Ethics Committee of the First Affiliated Hospital of Kunming Medical University (approval number 2021.L.2), and all participants provided written informed consent after they were informed of the purposes, processes, and potential risks associated with the study.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}}],"article-number":"28892"}}