Product Images Cobrazol

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Cobrazol NDC 10893-900 by Nature's Innovation, Inc., 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.

Cobrazol Package - CobraZol Label Final

Cobrazol Package - CobraZol Label Final

This text appears to be a description of a pain relief drug with a roll-on gel form factor. It contains multiple active and inactive ingredients like Capsicum annuum and is advised to be used only externally. The drug claims to provide temporary relief from mild to moderate chronic pain caused by ailments like arthritis and neuralgia. Users are advised to wash their hands after use and avoid contact with eyes. Pregnant, nursing women and children are asked to consult doctors before using it. The text also highlights that the component(s) in this product are officially monographed in the Homeopathic Pharmacopoeia of the United States.*

Cobrazol Box - CobrazolBox Final

Cobrazol Box - CobrazolBox Final

Cobrazol is a homeopathic, non-addictive, non-narcotic and non-drowsy Roll-on Topical Gel used for temporary relief of mild to moderate chronic pain associated with arthritis, neuralgia, anti-inflammatory, muscle and joint pain. Its active ingredients include Arnica montana, Capsicum annum (Cayenne pepper), Crotalus horridus, Lachesis muta, and Naja tripudians. It is intended to use for cases of recurring pain and should be used externally. In case of symptoms persist or worsen, pregnant or nursing women and children, or if the product gets into eyes, flush with water and seek medical attention. If swallowed, call Poison Control Center right away and keep it out of reach of children. For more information, visit cobrazol.com.*

* 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.