Product Images Bufferin Lidocaine Pain Numbing

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The following image provide visual information about the product associated with Bufferin Lidocaine Pain Numbing NDC 50066-614 by Genomma Lab Usa, 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.

PRINCIPAL DISPLAY PANEL - 76.5 g Tube Carton - bufferin 01

PRINCIPAL DISPLAY PANEL - 76.5 g Tube Carton - bufferin 01

Bufferin 1000mg Hemp Seed Oil is a pain-numbing cream that provides temporary relief for various types of pain such as back pain, elbow pain, ankle and foot pain, and leg pain. It contains 7 types of pain-blocking ingredients, including 1000mg hemp seed oil and lidocaine. The cream is designed to block pain receptors and provide hours of relief. It also offers skin conditioning benefits. This product should only be used externally and as directed. It is important to avoid contact with eyes and to not apply tight bandages or heat pads. If the condition worsens or symptoms persist for more than 7 days, it is recommended to consult a doctor. Pregnant or breastfeeding individuals should consult a healthcare professional before use. Keep out of reach of children to avoid accidental ingestion. If swallowed, seek medical help or contact a poison control center immediately. The cream should be applied to the affected area no more than 3 to 4 times daily for adults and children 12 years and older. For children under 12 years of age, it is advised to consult a doctor. The cream is packaged in a tube and the seal should not be used if punctured or missing. The cream also contains inactive ingredients such as purified water, aloe vera juice, jojoba oil, and benzophenone-4. For any questions or comments, customers can contact the provided phone number. Irwin Naturals is the licensee of the registered trademark Irwin Naturals.*

* 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.