Product Images Varibar Nectar

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Varibar Nectar NDC 32909-116 by E-z-em Canada 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.

barium-sulfate-structure - barium sulfate structure

barium-sulfate-structure - barium sulfate structure

varibar nectar internal label

varibar nectar internal label

This text describes a multiple-unit container for use in modified barium swallow examinations to evaluate the oral and pharyngeal function and morphology in adults and pediatric patients. The container includes 0.40g barium sulfate and several inactive ingredients. The text provides the prescribing information for complete dosage and administration information. The product is manufactured by Bracco Diagnostics Inc and can be used for 1021 days when stored at USP-controlled room temperature. The text also includes specific storage instructions and a discard date.*

varibar-nectar-internal-label - varibar nectar internal label

varibar-nectar-internal-label - varibar nectar internal label

This is a multiple-unit container for oral use only. It is used in modified barium swallow examinations to evaluate oral and pharyngeal function and morphology in both adult and pediatric patients. It contains 0.40 g barium sulfate and several inactive ingredients. For complete dosage and administration information, refer to the prescribing information. It comes in a 240 mL bottle for oral suspension and can be stored at a controlled room temperature of 20 to 25°C to protect it from freezing. Once opened, it can be used for up to 21 days when stored at the same temperature. There is also information about the manufacturer and a lot and expiry encoding area.*

* 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.