Stellalife Vega Oral Care Spray
Product Images NDC 61727-118

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Stellalife Vega Oral Care (NDC 61727-118). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Homeocare Laboratories, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Rinse Display (Stella Rinse)

Description: This text provides information about an oral care product called "SESTHLALFE | SESTRLALIRE." The product claims to be an intelligent heating device and has a dentist-recommended advanced formula with peppermint. It claims to promote oral health, hydrate the oral cavity, support healthy gums and fresher breath. The text also mentions a Vega Oral Care Rinse with a specific quantity and alcohol percentage.*

FDA Label Image

Gel Label (Stellalife Gel Display)

StellaLife Intelligent Healing® provides pain relief for oral ulcers while hydrating the oral cavity. It is a Homeopathic drug with active ingredients and is recommended by dentists. It is made in the USA and can be purchased at StellaLife.com. The exact inactive ingredients are not listed. The NDC number is 69685-11201 and the product appears to come in a gel form with 30 ml per package.*

FDA Label Image

Kit Label (Stellalife Recovery Kit Display)

FDA Label Image

Spray Label (Stellalife Spray Display)

VEGA Oral Care Spray is a homeopathic product that may provide pain and swelling relief, promote healing and reduce bruising. The active ingredients include natural remedies such as Arica GX, Hepar suiph calc, Hypericum, Ignatia, Ledum palusire and Ruta that may act as analgesic, antiseptic and soothing agents. The product comes in a spray bottle of 1fl0z (30 ml).*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.