Marijuana is derived from the hemp plant cannabis sativa which is grown in many tropical areas in the world. It is a green or grey mixture of dried, shedded flower and leaves. Marijuana is the most often used illegal drug in the United States. Most users roll loose marijuana into a cigarette called a βJointβ (William and Thomas, 2005). Some users mix marijuana into food or use it to brew tea; hash users either smoke the drug in a pipe or mix it with tobacco and smoke it as cigarette. Most researchers agreed that there is only one extract (sativa) with variant, while others believe that there are only three different extracts which include Dranabinol (2, 9-tetrahydrocannabinol), cannabinol and cannabidol (Agurell et al., 2000). Due to its nature as a substance of abuse, it is unlawful to posses or supply cannabis. Thus it is difficult to obtain precise estimate about the extent of its use. Data from 2013/2014 survey in Britain suggest that over 3.3 million people used cannabis that year (Chivite et al., 2014). From a New-Zealand birth cohort of 1265 children it was found that by the age of 21 nearly 70% has used cannabis (Fergusson and Hawood, 2011). The heart is a muscular organ in all vertebrates which is responsible for pumping the blood by the repeated rhythmic contraction and involuntary muscles, it is supplied by the coronary circulation and enclosed by a sac known as the pericardium and it is surrounded by the lungs (Malton et al., 2009). Enzymes markers of the heart disease can be assessed by estimation of a variety of enzymes such as creatine kinase (CK_MB), Lactate dehydrogenate (LDH), Alaninetransminase (ALT) and Aspartate transaninase (AST). A survey on 15 chronic marijuana smokers reveals that the values of AST, ALT, LDH, and Ck-MB were elevated following myocardial infarction when compared to non-smokers (Kew et al., 2010).
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The project "Utilization of Artificial Intelligence in Blood Transfusion Medicine: A Comparative Analysis of Traditional Methods vs. Machine Learning Algor...
The project titled "Development of a Rapid Diagnostic Test for Emerging Infectious Diseases" aims to address the urgent need for efficient and timely ...
The project topic focuses on exploring the implications of rapid diagnostic tests for the detection and management of infectious diseases in resource-limited se...
The project on "Utilization of Artificial Intelligence in Hematology for Automated Blood Cell Morphology Analysis" aims to explore the integration of ...
The project "Development of a Rapid Diagnostic Test for Infectious Diseases" focuses on addressing the critical need for efficient and accurate diagno...
The project topic "Implementation of Point-of-Care Testing in Rural Healthcare Settings: A Cost-Effectiveness Analysis" focuses on the utilization of ...
The project topic, "Application of Artificial Intelligence in Diagnosing Infectious Diseases in Clinical Microbiology," focuses on the integration of ...
The project topic "Application of Molecular Techniques in Diagnosis and Management of Infectious Diseases in Clinical Microbiology" focuses on the uti...
The research project on "Implementation of Molecular Techniques in the Diagnosis of Infectious Diseases" aims to explore and evaluate the application ...