You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Recovery from alcohol dependence: Do smoking indicators predict abstinence? There is inconsistent evidence about the potential influence of smoking on recovery from alcohol dependence. Our study aimed at assessing the impact of smoking-behavior on relapse during a 12 months follow-up period following a detoxification in patients with Alcohol Use Disorder (AUD). Three hundred Patients with AUD (74.9% smoking) were recruited from two inpatient detoxification units in psychiatric hospitals in Germany and their alcohol consumption was prospectively followed for 1 year. Data on different indicators of smoking behavior was gathered. Cox regression model was used to evaluate potential risk factors on time to relapse of alcohol consumption. Two hundred seventy-nine participants (n = 279) were included in the final analysis. Smoking increased the risk for alcohol relapse (hazard ratio = 3.962, 95% CI 1.582-9.921). However, this increased risk is slightly reduced with higher numbers of daily consumed cigarettes (hazard ratio per cigarette = .986, 95% CI .976-.995). Smoking reduced the probability of maintaining alcohol abstinence significantly, whereas higher number of cigarettes smoked daily diminished the increased risk of alcohol relapse in alcohol-dependent patients. Coordinated psychiatric and substance abuse interventions for different subgroups of patients with AUD in the post-acute treatment phase are necessary. Individualized treatment planning is especially important in smoking patients with AUD who are vulnerable for a relapse to alcohol drinking and for somatic complications. Our findings might support individualized treatment plans .(Am J Addict 2017;XX:1-8).
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["substance abuse", "alcohol-dependent", "complications", "alcohol dependence"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["findings", "cigarettes smoked", "cigarette", "risk factors", "consumed cigarettes", "Smoking reduced"], "Food": [], "HealthCareActivity": ["detoxification", "study", "follow-up", "interventions", "evaluate"], "InjuryOrPoisoning": [], "IntellectualProduct": ["treatment plans", "Cox regression model", "subgroups"], "MedicalDevice": [], "Organization": ["psychiatric hospitals", "detoxification units"], "PopulationGroup": ["participants"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["analysis"], "SpatialConcept": ["Germany"], "Virus": []}