Product Images Imbue Pain Relief

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Imbue Pain Relief NDC 75979-1146 by Imbue Body Llc, 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 Back - Imbue 1 package back

Package Back - Imbue 1 package back

The provided text is for a pain relief patch. The product should only be used wherever pain occurs. The patch should not come into contact with damaged or irritated skin, eyes, or mucous membranes. If the condition worsens, severe irritation occurs, or pain persists more than 7 days, stop usage, and consult a doctor before applying again. Pregnant women or breastfeeding mothers should seek medical professional advice before using. The instructions suggest using caution while applying and avoiding the surrounding skin while placing the patch. The product should be kept away from children, and users may contact medical professionals for further help if needed. There are recommendations for usage with time frames for wear and number of patches per day. Additionally, patches are available for purchase online or from select stores. Further expert advice for pain relief and tips are available online. Overall, the text provides comprehensive instructions and usage suggestions for the mentioned product, but it lacks important information such as the brand name or specific active ingredients.*

Package Front - Imbue 1 package front

Package Front - Imbue 1 package front

The text describes a pain relief patch that is easy to use and offers long-lasting comfort. The package has a "tear here" section and can be resealed. The patch is made of all-natural herbal gel on an adhesive fabric and measures 43x6 inches. The product has an NDC code of 75979-11461.*

* 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.