Product Images Lidothol
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 3 images provide visual information about the product associated with Lidothol NDC 83881-455 by Clinic Pharma, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.
Package Insert (1) - Lidothol Package Insert 102424 01 (1)
This text provides detailed information on the dosage and administration of Lidothol™ gel, including how to apply, handle, and store the product. It also covers potential adverse reactions, overdose management, drug interactions, and the description of the product's composition. Additionally, it mentions how Lidothol™ is absorbed and its pharmacological properties. The text advises on avoiding eye contact, discussing systemic reactions, and the supply details of the product. Contact information for Clinic Pharma is provided for further inquiries.*
Package Insert (2) - Lidothol Package Insert 102424 02 (1)
This text provides detailed information about the distribution, metabolism, excretion, indications, contraindications, warnings, precautions, drug interactions, and potential adverse effects of Lidothol™, a medication used for pain relief associated with various conditions like arthritis, sprains, and strains. It highlights important points such as the risk of methemoglobinemia, considerations for dosing, contraindications in specific patient populations, and precautions related to application on non-intact skin or exposure to external heat sources. The text also includes guidance on monitoring for symptoms of methemoglobinemia, recommendations for patients with known sensitivities to anesthetics, and advice regarding eye exposure or allergic reactions. It provides a comprehensive overview for healthcare professionals or individuals considering the use of Lidothol™.*
* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.