Pregabalin Capsule
Product Images NDC 71335-1459

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 15 technical images submitted to the FDA as part of the official labeling for Pregabalin (NDC 71335-1459). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Bryant Ranch Prepack, 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

Label (Lbl713351459)

Label (Lbl713351459)
This text is describing a medication named Pregabalin Capsules, USP which comes in a package of 30 capsules with each containing 150 mg of the medicine. The drug should be stored at a temperature between 20°-25°C (68°-77°F) and away from the reach of children. The NDC number for the medication is 71335-1459-01.*
FDA Label Image

Label (Lbl7133514592)

Label (Lbl7133514592)
This appears to be a label for a prescription drug called "Pachaged" packaged by "Bryant Ranck Prepack." It is being compared to a drug called "Lyrica" made by "Laurus labs Limited." The Pachaged labeling mentions a strength of 150mg in capsule form and gives the NDC number as 7133514591. The label provides storage instructions and a caution to keep all drugs out of reach of children. The last line seems to be a numeric code or barcode.*
FDA Label Image

Pregabalinchemistrystructure (Pregabalin Chem Structure)

FDA Label Image

Pregabalin-equation (Pregabalin Equation)

FDA Label Image

Pregabalinfig1 (Pregabalin Fig 01)

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Pregabalinfig2 (Pregabalin Fig 02)

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Pregabalinfig3 (Pregabalin Fig 03)

Pregabalinfig3 (Pregabalin Fig 03)
The text appears to be a table displaying the percent improvement in pain for different medications and doses. It includes various medicines such as Pregatalin and Pregabalin along with their dosages. Additionally, there is the percent improvement reported in the table. It seems that there are multiple entries for different dates as well.*
FDA Label Image

Pregabalinfig4 (Pregabalin Fig 04)

FDA Label Image

Pregabalinfig5 (Pregabalin Fig 05)

Pregabalinfig5 (Pregabalin Fig 05)
The given text seems to be a chart/table comparing the efficacy of different drugs in reducing pain. The drugs mentioned here are Fregabalin, Pregataiin, and Placebo. The dosage of Fregabalin is 100mg taken three times a day while Pregataiin is taken 80mg thrice daily. The table also includes the percentage of patients who have shown improvement on the respective drugs. However, the last row of numbers seems to be incomplete and not understandable. Therefore, it can be assumed that the text is describing the effectiveness of drugs in reducing pain, but further information is required for a complete context.*
FDA Label Image

Pregabalinfig6 (Pregabalin Fig 06)

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Pregabalinfig7 (Pregabalin Fig 07)

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Pregabalinfig8 (Pregabalin Fig 08)

Pregabalinfig8 (Pregabalin Fig 08)
This is a chart displaying the percent improvement in pain from baseline for patients taking different doses of Pregabalin and a placebo. The text also includes the daily doses for 450mg and 10mg of Pregabalin.*
FDA Label Image

Pregabalinfig9 (Pregabalin Fig 09)

Pregabalinfig9 (Pregabalin Fig 09)
This appears to be a table or a graph showing some estimated percentages of subjects without LTR. Pregabalin and placebo are probably two treatments being compared. The numbers on the right may represent days or some other kind of measurement. Without more context, it is difficult to provide a more detailed description.*
FDA Label Image

Pregabalinfig10 (Pregabalin Fig 10)

FDA Label Image

Pregabalinfig11 (Pregabalin Fig 11)

Pregabalinfig11 (Pregabalin Fig 11)
The text appears to be a chart showing the percentage of subjects who improved while taking pregabalin versus a placebo. The chart includes numbers ranging from 100 to 280 and weeks from baseline to week 16.*

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