Product Images Menthol, Camphor
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Menthol, Camphor NDC 72937-006 by Sunset Novelties, 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.
SUNSET - COOLING PAIN RELIEF GEL 16 - SUNSET COOLING PAIN RELIEF GEL 16oz
This text contains drug facts for a Mol 5% Topal Analgesic, which provides temporary relief for minor pain. The product is not intended for use on wounded or damaged skin, wounds or eyes. The cooling relief formula contains mint, rosemary, and thyme extract and organic CBD. Users are advised to apply a small amount to the desired area, avoiding contact with eyes and wounds, and to consult a physician if any adverse reactions occur. The inactive ingredients include water, alcohol, and various chemicals. This product is not evaluated by the FDA and is not a cure for any disease.*
SUNSET PAIN RELIEF GEL 2 - SUNSET COOLING PAIN RELIEF GEL 2oz
This appears to be a mix of information related to two drug products - one containing 6% Coniar and another containing tea tree and organic CBD. The text mentions active ingredients present in both products along with directions, warnings, and precautions related to their usage. However, the text is incomplete, and therefore, it is not providing sufficient information to determine the specific uses and benefits of the products.*
SUNSET - COOLING PAIN RELIEF GEL 4 - SUNSET COOLING PAIN RELIEF GEL 4oz
This is a drug facts label. It appears to be for a topical product that provides temporary cooling relief for sore muscles and contains CBD oil, mint, rosemary, and thyme extract. The label mentions a review by the Food and Drug Administration (FDA).*
SUNSET - COOLING PAIN RELIEF GEL 8 - SUNSET COOLING PAIN RELIEF GEL 8oz
* 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.