Product Images Rabeprazole Sodium
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Product Label Images
The following 6 images provide visual information about the product associated with Rabeprazole Sodium NDC 50436-0302 by Unit Dose Services, 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 Image - lbl504360302
This is a description of two pharmaceutical products with their respective NDC codes, manufacturers, and other details. The first product is a delayed-release medication with the active ingredient Rabeprazole Sodium in 30000 mg concentration, packaged in a bottle with 30 tablets. Its NDC code is 50436-0302-1, and it is manufactured by Kremers Urban. The second product is not clear as the text contains several errors and gibberish characters, making it not available for evaluation.*
Figure 1 - rabeprazole sodium delayed release tablets 1
Figure 2 - rabeprazole sodium delayed release tablets 2
This text seems to be from a study that compares the effects of two dosages of RAB (presumably a medication) versus a placebo on heartburn scores. The study involves 68 participants in the placebo group, 64 participants in the RAB 10mg group, and 67 participants in the RAB 20mg group. The heartburn scores are rated on a scale of 0 to 4, with 0 being no heartburn and 4 being very severe heartburn. The data seems to be collected over a period of at least 21 days.*
Figure 3 - rabeprazole sodium delayed release tablets 3
This text describes the sample size of three different treatment groups, placebo which had 68 participants, RAB 10mg that had 64 participants, and RAB 20mg that had 67 participants. It likely pertains to a medical or clinical study where the efficacy of these treatments were being evaluated.*
Figure 4 - rabeprazole sodium delayed release tablets 4
Figure 5 - rabeprazole sodium delayed release tablets 5
* 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.