Product Images Lidopro Patch

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Product Label Images

The following 2 images provide visual information about the product associated with Lidopro Patch NDC 83881-401 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.

box - Box 83881 401 30

box - Box 83881 401 30

This is a description of a pack of 30 Extended Release Topical System patches sized 7cmx12.5cm (2.8inx5in). The patches contain Lidocaine for topical anesthesia, Menthol, and Methyl Salicylate. They provide deep penetrating and long-lasting relief for minor pains and irritations. The patches are to be used externally only and should not be applied to wounds or damaged skin. The directions for use include cleaning and drying the affected area before applying the patch for up to 12 hours. The patch is breathable and has a patented Hydrogel Adhesive. It is advised to consult a doctor if symptoms persist or worsen. Special care should be taken to keep the product away from children and pets as it can have serious adverse effects if ingested.*

pouch - Pouch 83881 401 02

pouch - Pouch 83881 401 02

This text provides information about an NDC (National Drug Code) listed as 83881-401-02. It describes an Extended Release Topical System in the form of patches, containing active ingredients such as Lidocaine (4%), Menthol, and Methyl salicylate. The system is designed for long-lasting pain relief and soothing effects. The drug facts, warnings, directions for use, and other ingredients are clearly stated. The system is meant for temporary relief of minor pain and comes with usage instructions for adults and children over 12 years. It also includes warnings about potential adverse effects and precautions, such as keeping the product away from children and pets. This product is manufactured for Clinic Pharma in Las Vegas, USA.*

* 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.