Product Images Hempvana Maximum Strength Pain Relief Cream 10% Trolamine Salicylate
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Product Label Images
The following 2 images provide visual information about the product associated with Hempvana Maximum Strength Pain Relief Cream 10% Trolamine Salicylate NDC 73287-034 by Telebrands Corp, 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.
Inner - Hempvana JarLabel MagnesiumSulfate v1
Hempvana is a pain relieving cream that contains Trolamine Salicylate, Magnesium Sulfate, and Hemp Seed Oil to help conquer pain and moisturize the skin. It can be applied up to 3 to 4 times daily on affected areas. This cream is safe for adults and children over 2 years old, but children under 2 years old should consult a physician before use. It is important to avoid contact with eyes or mucous membranes, wounds, or irritated skin, and not to use with other topical analgesics simultaneously. If allergic to aspirin or salicylates, consult a doctor before using. For more information, check the Drug Facts panel on the box.*
Outer - Hempvana MagnesiumSulfate HBP V1
The text provides detailed information about a pain relief cream called "Hempvana with Spot Varinis Maximum Strength." It contains 10% Trolamine Salicylate and other ingredients like Magnesium Sulfate and Hemp Seed Oil. The cream is aimed at providing relief for minor pain from arthritis, backaches, and muscle strain. The product is meant for external use only and should not be used on wounds or damaged skin. It includes directions for application and warnings for children under 2 years old and potential allergic reactions. The brand emphasizes customer satisfaction and offers a money-back guarantee. Further information includes contact details for inquiries, storage instructions, and information on the active and inactive ingredients.*
* 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.
