Product Images Rabeprazole Sodium

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Rabeprazole Sodium NDC 85509-1443 by Phoenix Rx Llc, 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.

Label - 8550914433

Label - 8550914433

This text provides important information regarding a medication containing 20 mg of Rabeprazole Sodium in Delayed-Release tablet form. It includes instructions to store the tablets at room temperature, protect from moisture, and dispense in tight containers. Additionally, it mentions the manufacturer and repackager of the medication, along with details such as the NDC number, expiration date, and lot number. Patients are advised to refer to the package insert for dosage and usage instructions by scanning the provided QR code.*

Rabe-Str - Rabe Str

Rabe-Str - Rabe Str

Rabe-Str2 - Rabe Str2

Rabe-Str2 - Rabe Str2

This is a chart displaying heartburn scores for a study involving two different doses of Rabeprazole (RAB) and a placebo. The scores range from 0 (None) to 4 (Very Severe), with data recorded at different time points during the study.*

Rabe-Str3 - Rabe Str3

Rabe-Str3 - Rabe Str3

This text provides heartburn scores data for a study comparing Placebo (n=58) and RAB20mg (n=59) groups over different study days (14, 7, 0, 7, 14, 21, 28). The heartburn severity levels are categorized as None, Slight, Moderate, Severe, and Very Severe, with corresponding scores of 0, 1, 2, 3, and 4.*

Rabe-Str4 - Rabe Str4

Rabe-Str4 - Rabe Str4

MEAN SCORE - This data shows the mean scores for Heartburn in a study comparing Placebo and Rabeprazole (RAB20mg) with a sample size of 59. The study evaluates Heartburn scores on different days, ranging from slight to very severe.*

* 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.