Context: Demand for medical cannabis (MC) is growing among Israeli patients with cancer.
Objectives: The study sought to assess factors contributing to the demand for MC among patients with cancer.
Methods: Patients applying for a permit to receive MC at a pain and palliative clinic of a university-affiliated cancer center in Israel in 2020-2021 were asked to complete self-report questionnaires assessing attitudes, knowledge, and expectations regarding MC use. Findings were compared between first-time and repeat applicants. Repeat applicants were asked to report their indications for requesting MC, patterns of use, and treatment effect.
Results: The cohort included 146 patients: 63 first-time applicants and 83 repeat applicants. First-time applicants were more likely to consult sources other than their oncologist for MC-related information (P < 0.01) and expressed more concern about addiction (P < 0.001) and side effects (P < 0.05). They often erroneously assumed the treatment was subsidized (P < 0.001). Repeat applicants were younger (P < 0.05) and included more smokers (P < 0.05) and recreational cannabis users (P < 0.05); 56.6% were cancer survivors and 78% used high-potency MC. Most patients believed to some degree that MC is more effective than conventional medications for symptom control, and over half thought that MC helps to cure cancer.
Conclusion: Misconceptions regarding the effectiveness of MC for symptom management and treatment may explain the motivation of patients with cancer to apply for a permit. There seems to be an association of young age, cigarette smoking, and recreational cannabis use with ongoing use of MC among cancer survivors.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jpainsymman.2023.05.010 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Can Artificial Intelligence Fool Residency Selection Committees? Analysis of Personal Statements by Real Applicants and Generative AI, a Randomized, Single-Blind Multicenter Study.
JB JS Open Access
October 2024
San Joaquin General Hospital, French Camp, California.
Introduction: The potential capabilities of generative artificial intelligence (AI) tools have been relatively unexplored, particularly in the realm of creating personalized statements for medical students applying to residencies. This study aimed to investigate the ability of generative AI, specifically ChatGPT and Google BARD, to generate personal statements and assess whether faculty on residency selection committees could (1) evaluate differences between real and AI statements and (2) determine differences based on 13 defined and specific metrics of a personal statement.
Methods: Fifteen real personal statements were used to generate 15 unique and distinct personal statements from ChatGPT and BARD each, resulting in a total of 45 statements.
Patient and Public Involvement in Research Evaluating Integrated Care for People Experiencing Homelessness: Findings From the PHOENIx Community Pharmacy Pilot Randomised-Controlled Trial.
Health Expect
October 2024
General Practice and Primary Care, School of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
Introduction: There is a paucity of research on and a limited understanding of patient and public involvement (PPI) in the context of research in homelessness and, in particular, direct involvement of people with lived and living experience of homelessness (PEH) as expert advisors. We aim to report on outcomes and reflections from lived experience advisory panel (LEAP) meetings and PPI activities, held throughout the study lifecycle of a pilot randomised-controlled trial (RCT) focused on evaluating integrated health and practical support for PEH.
Methods: Community Pharmacy Homeless Outreach Engagement Non-medical Independent prescribing Rx (PHOENIx Community Pharmacy RCT) is an integrated health and social care intervention for people experiencing homelessness who present to community pharmacy.
Parkinson's families project: a UK-wide study of early onset and familial Parkinson's disease.
NPJ Parkinsons Dis
October 2024
Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK.
The Parkinson's Families Project is a UK-wide study aimed at identifying genetic variation associated with familial and early-onset Parkinson's disease (PD). We recruited individuals with a clinical diagnosis of PD and age at motor symptom onset ≤45 years and/or a family history of PD in up to third-degree relatives. Where possible, we also recruited affected and unaffected relatives.
View Article and Find Full Text PDFImpact of site-specific conjugation strategies on the pharmacokinetics of antibody conjugated radiotherapeutics.
Eur J Med Chem
December 2024
Division of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden; Lund University Cancer Centre (LUCC), Lund University, Lund, Sweden. Electronic address:
Antibody radionuclide conjugates are an emerging modality for targeted imaging and potent therapy of disseminated disease. Coupling of radionuclides to monoclonal antibodies (mAbs) is typically achieved by applying non-site-specific labelling techniques. With the ambition of reducing variability, increasing labelling efficacy and stability, several site-specific conjugation strategies have been developed in recent years for toxin- and fluorophore-mAb conjugates.
View Article and Find Full Text PDFMAPT H2 haplotype and risk of Pick's disease in the Pick's disease International Consortium: a genetic association study.
Lancet Neurol
May 2024
Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA; Department of Clinical Genomics, Mayo Clinic, Jacksonville, FL, USA. Electronic address:
Article Synopsis
- Pick's disease is a rare form of frontotemporal dementia characterized by Pick bodies in the brain, which are linked to the MAPT gene and its haplotypes, H1 and H2.
- The study aimed to investigate how the MAPT H2 haplotype influences the risk, age of onset, and duration of Pick's disease.
- Data was collected from 338 individuals with confirmed Pick's disease across multiple sites, and associations of MAPT variants with the disease were analyzed using statistical models.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!