Product Images Antiperspirant Above Urban

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Product Label Images

The following 2 images provide visual information about the product associated with Antiperspirant Above Urban NDC 73306-1106 by Baston Industria De Aeross�is Ltda, 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.

92399477 a358 6537 e053 2a95a90a7d16

92399477 a358 6537 e053 2a95a90a7d16

This is a Drug Facts sheet for an antiperspirant product containing Aluminum Sesquichlorohydrate as an active ingredient. The product is applied to the underarms only, and users are instructed to shake it well before use. The warnings emphasize that the content inside is pressurized and flammable, so it should not be used near heat, flame, or while smoking. The users are advised to avoid spraying inside the eyes, on broken skin, or near the face/mouth to avoid breathing it in. In case of an emergency (rash, irritation, or ingestion), medical attention shall be sought immediately. The package has information regarding the batch, expiration date, and contact for consumer services. The product is distributed in Brazil and made in Brazil.*

PACKAGE LABEL - Antitranspirante Above Urban 150ml

PACKAGE LABEL - Antitranspirante Above Urban 150ml

This is a drug facts sheet for an antiperspirant product that uses Aluminum Sesquichlorohydrate as the active ingredient. It provides directions for use and warns against using the product near heat, flames or while smoking. It also advises against the product's contact with eyes and inhalation. The product must be kept away from the reach of children and animals. The sheet also lists the cosmetic ingredients present in the product. The product is flammable and should only be used as directed. The manufacturer recommends shaking the container well before use and applying from 15cm to underarms to protect the eyes.*

* 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.