Product Images Petrolatum Jelly

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Petrolatum Jelly NDC 77338-101 by Astonea Labs Private Limited, 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 and Drug Fact Panel - ASTONEA BLUE

Principal Display and Drug Fact Panel - ASTONEA BLUE

ASTONEA is a petroleum-based skin protectant. It has a fresh scent and is intended for external use only to protect and soothe dry, cracked, or chapped skin. The active ingredient is P-595 Sinidato, which helps to moisturize and soften the skin. However, there are no clear instructions on how to use the product, and the label includes several typographical errors that may make it difficult to understand. It is also important to note that the product should be kept out of reach of children. Ultimately, more information is needed to determine the effectiveness and safety of this product.*

Principal Display and Drug Fact Panel - ASTONEA COCO

Principal Display and Drug Fact Panel - ASTONEA COCO

Principal Display and Drug Fact Panel - ASTONEA PINK

Principal Display and Drug Fact Panel - ASTONEA PINK

This product is a petroleum jelly, which acts as a skin protectant and has a fresh scent. It is meant for external use only and has a net weight of 13 ounces (368 grams). The drug facts state that it can be used for dry, chapped, or cracked skin, especially in cold weather. The warning indicates that it is for external use only and should not be ingested. The product should be kept away from children and if symptoms persist, medical help should be sought. The directions for use are not available. The product was manufactured by Astonea Labs Private Limited, located in Haryana, India.*

* 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.