Product Images Lidocaine Patch

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Product Label Images

The following 2 images provide visual information about the product associated with Lidocaine Patch NDC 73317-6866 by Slv Pharmaceuticals Llc Dba Aum Pharmaceuticals, 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.

carton - carton

carton - carton

This is a drug patch containing Lidocaine 4% designed for the temporary relief of minor pain. It's odor-free, super-flexible, and thin, and uses the Maximum Drug Delivery Force Technology to maximize delivery efficiency. It comes in 15 patches, each envelope contains one patch, and each patch is designed for single use. The patch shouldn't be applied to wounds or damaged or sensitive skin. If symptoms persist and/or the pain gets severe, consumers should consult a doctor. The packaging is child-resistant, and the patch should not be chewed or swallowed. If that happens, medical help should be sought immediately. Customers with questions may callĀ 1.866-760.6565. It is made in the USA by Home Pharmaceuticals, and the dimensions of each patch are 2.91in X 2.17in (74amX55 am). Inactive ingredients are mentioned as well.*

Pouch - patch

Pouch - patch

This seems to be a product description of a topical pain relief patch named "Lidocaine 4%". It is an odor-free, super flexible and thin patch that contains lidocaine as its active ingredient. One patch of the product can provide fast-acting pain relief by desensitizing aggravated nerves. However, it is not meant to be used on open wounds or sensitive skin, and for periods over one week, without consulting a doctor. It also provides directions and warnings about how to use the product safely. There are other sections of the text that seem to be some sort of code and letters that are not related to the product description.*

* 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.