noslang_street_names.R
In DOPE: Drug Ontology Parsing Engine

## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  eval = FALSE,
  comment = "#>"
)

## ----setup--------------------------------------------------------------------
#  library(conflicted)
#  suppressMessages(conflict_prefer("filter", "dplyr"))
#  
#  library(DOPE)
#  
#  library(xml2)  # read_html()
#  library(rvest)  # html_nodes(), html_text()
#  library(purrr)  # map_dfr()
#  
#  suppressPackageStartupMessages(library(dplyr))  # %>%, bind_rows()
#  library(stringr)  # str_detect, str_to_lower()
#  library(tidyr) # pivot_longer()
#  
#  library(tibble)  # tibble()
#  library(usethis)  # use_data()

## ----eval = FALSE-------------------------------------------------------------
#  get_slang <- function(page){
#    street_name <- read_html(paste0("https://www.noslang.com/drugs/dictionary/",
#                                    page)) %>%
#      html_nodes("table abbr") %>%
#      html_text()
#    desc <- read_html(paste0("https://www.noslang.com/drugs/dictionary/",
#                             page)) %>%
#      html_nodes("abbr") %>%
#      html_attr("title")
#  
#    tibble("street_name" = street_name,
#           "description" = desc)
#  }
#  
#  # creates a vector of the '#' sign plus all lowers case letters of the alphabet
#  pages <- c("#", letters)
#  
#  # iterate the function over the vector of letters to get information of the
#  #   slang term and it's description
#  noslang_raw <- map_dfr(pages, get_slang)
#  
#  
#  use_data(noslang_raw, overwrite = TRUE)

## -----------------------------------------------------------------------------
#  
#  # add note to use singular instead of plural
#  # add note to use common abbreviations (lsd) vs long names
#  
#  # This was used to shorten the list of phrases to check to find the drug names.
#  ns <- data.frame(description =
#                     unique(tolower(noslang_raw$description)))
#  
#  # Use this instead to make analysis file
#  ns <- noslang_raw %>%
#    mutate(description = tolower(description))
#  
#  # This code adds indicator variables holding > 0 if a drug name appears in the
#  #   description variable.  Those are used to drop phrases that do not contain
#  #   drug names.
#  checkForDrugs <- ns %>%
#    mutate(d_2cb = as.numeric(str_detect(description, "2cb|nexus"))) %>%          # NS
#    mutate(d_alphaEt = as.numeric(str_detect(description,
#                                             "alpha-ethyltryptamine"))) %>%       # NS
#    mutate(d_alprazolam = as.numeric(str_detect(description, "xanax"))) %>%
#    mutate(d_amphetamine = as.numeric(str_detect(description,
#                                                 "amphetamine|speed"))) %>%
#    mutate(d_amt = as.numeric(str_detect(description,
#                                                 "alpha-methyltryptamine"))) %>%  # NS
#    mutate(d_amobarbital = as.numeric(str_detect(description,
#                                         "amobarbital"))) %>% # NS
#    mutate(d_amylNitrite = as.numeric(str_detect(description,
#                                                 "amyl nitrite"))) %>%            # NS
#    mutate(d_barbiturates = as.numeric(str_detect(description,
#                                                  "barbiturate"))) %>%
#    mutate(d_bathSalts  = as.numeric(str_detect(description, "bath salts"))) %>%
#    mutate(d_benzodiazepines = as.numeric(str_detect(description,
#           "benzodiazepine|benzodiazipines"))) %>%
#    mutate(d_clonazepam = as.numeric(str_detect(description, "klonopin"))) %>%
#    mutate(d_cocaine = as.numeric(str_detect(description,
#           "cocaine|coke|coccaine"))) %>%
#    mutate(d_codeine = as.numeric(str_detect(description, "codeine"))) %>%
#    mutate(d_crack = as.numeric(str_detect(description, "crack"))) %>%
#    mutate(d_dextromethorphan = as.numeric(str_detect(description,
#          "dextromethorphan|coricidin|cortison"))) %>%                            # NS
#    mutate(d_diazepam = as.numeric(str_detect(description, "valium"))) %>%        # NS
#    mutate(d_dmt = as.numeric(str_detect(description, "dimethyltryptamine"))) %>% # NS
#    mutate(d_fentanyl = as.numeric(str_detect(description, "fentanyl"))) %>%
#    mutate(d_flakka = as.numeric(str_detect(description, "flakka"))) %>%
#    mutate(d_gbl = as.numeric(str_detect(description, "gbl"))) %>%                # NS
#    mutate(d_ghb = as.numeric(str_detect(description,
#                                         "ghb|gamma hydroxybutyrate"))) %>%
#    mutate(d_heroin = as.numeric(str_detect(description, "heroin|herion"))) %>%
#    mutate(d_hydrocodone = as.numeric(str_detect(description,
#           "hydrocodone|vicodin|lortab|loratab"))) %>%
#    mutate(d_hydromorphone = as.numeric(str_detect(description,
#           "hydromorphone|diluadid"))) %>%
#    mutate(d_inhalants = as.numeric(str_detect(description, "inhalant"))) %>%
#    mutate(d_isobutylNitrite = as.numeric(str_detect(description,
#                                                     "isobutyl nitrite"))) %>%    # NS
#    mutate(d_ketamine = as.numeric(str_detect(description, "ketamine"))) %>%
#    mutate(d_khat = as.numeric(str_detect(description, "khat"))) %>%
#    mutate(d_kratom = as.numeric(str_detect(description, "kratom"))) %>%
#    mutate(d_lsd = as.numeric(str_detect(description,
#          "lsd|lysergic acid diethylamide"))) %>%
#    mutate(d_marijuana = as.numeric(str_detect(description,
#           "marijuana|marijuna|cannabis|marajuana|weed|marijauna|maihuana|cannibus|hashish|hasish|blunt|tetrahydrocannabinol|joint|panama red"))) %>%
#    mutate(d_mdma = as.numeric(str_detect(description,
#                                          "mdma|ecstacy|ecxtasy|ecstasy"))) %>%
#    mutate(d_mescaline = as.numeric(str_detect(description,
#                                               "peyote|mescaline"))) %>%
#    mutate(d_methadone = as.numeric(str_detect(description, "methadone"))) %>%
#    mutate(d_methamphetamine = as.numeric(str_detect(description,
#           "methamphetamine|crystal myth|crystal rock of meth|methamphetimine|crystal meth"))) %>%
#    mutate(d_methcathinone = as.numeric(str_detect(description,
#                                                   "methcathinone"))) %>%         # NS
#    mutate(d_methaqualone = as.numeric(str_detect(description,
#                                                  "methaqualone"))) %>%           # NS
#    mutate(d_methylphenidate = as.numeric(str_detect(description, "ritalin"))) %>%
#    mutate(d_morphine = as.numeric(str_detect(description,
#                                              "morphine|morophine"))) %>%
#    mutate(d_mushrooms = as.numeric(str_detect(description, "mushroom"))) %>%
#    mutate(d_nitrous = as.numeric(str_detect(description, "nitrous oxide"))) %>%  # NS
#    mutate(d_opium = as.numeric(str_detect(description, "opium"))) %>%
#    mutate(d_oxycodone = as.numeric(str_detect(description,
#                                               "oxycodone|oxycontin|oxycotin"))) %>%
#    mutate(d_pcp = as.numeric(str_detect(description, "pcp|phencyclidine"))) %>%  # capitalization needs to match dea_factsheets_plus
#    mutate(d_psilocybin = as.numeric(str_detect(description, "psilocybin"))) %>%
#    mutate(d_rohypnol = as.numeric(str_detect(description, "rohypnol"))) %>%
#    mutate(d_salviaDivinorum = as.numeric(str_detect(description,
#                                                     "salvia divinorum"))) %>%
#    mutate(d_spice = as.numeric(str_detect(description, "spice"))) %>%
#    mutate(d_steroids = as.numeric(str_detect(description,
#                                              "steroids|steriods|steroid"))) %>%
#    mutate(d_u47700 = as.numeric(str_detect(description, "u-47700")))  %>%
#    rowwise() %>%
#    mutate(known = sum(c_across(starts_with("d_")))) # %>%
#    # use this for development
#    # select(description, known, everything())
#  
#  # recode drug names to the
#  ns_drugs <- checkForDrugs %>%
#    filter(known > 0) %>%
#    select(-known) %>%
#    mutate(description =
#             case_when(description == "nexus" ~ "2cb",
#                     description == "speed" ~ "amphetamine",
#                     description == "benzodiazipines" ~ "benzodiazipine",
#                     description == "coke" ~ "cocaine",
#                     description == "coccaine" ~ "cocaine",
#                     description == "coricidin" ~ "dextromethorphan",
#                     description == "cortison" ~ "dextromethorphan",
#                     description == "gamma hydroxybutyrate" ~ "ghb",
#                     description == "vicodin" ~ "hydrocodone",
#                     description == "lortab" ~ "hydrocodone",
#                     description == "loratab" ~ "hydrocodone",
#                     description == "herion" ~ "heroin",
#                     description == "lysergic acid diethylamide" ~ "lsd",
#                     description == "marijuna" ~ "marijuana",
#                     description == "cannabis" ~ "marijuana",
#                     description == "marajuana" ~ "marijuana",
#                     description == "weed" ~ "marijuana",
#                     description == "marijauna" ~ "marijuana",
#                     description == "maihuana" ~ "marijuana",
#                     description == "cannibus" ~ "marijuana",
#                     description == "hashish" ~ "marijuana",
#                     description == "hasish" ~ "marijuana",
#                     description == "blunt" ~ "marijuana",
#                     description == "tetrahydrocannabinol" ~ "marijuana",
#                     description == "joint" ~ "marijuana",
#                     description == "panama red" ~ "marijuana",
#                     description == "ecstacy" ~ "mdma",
#                     description == "ecxtasy" ~ "mdma",
#                     description == "ecstasy" ~ "mdma",
#                     description == "peyote" ~ "mescaline",       # need to fix in DEA
#                     description == "crystal myth" ~ "methamphetamine",
#                     description == "crystal rock of meth" ~ "methamphetamine",
#                     description == "crystal meth" ~ "methamphetamine",
#                     description == "methamphetimine" ~ "methamphetamine",
#                     description == "morophine" ~ "morphine",
#                     description == "oxycontin" ~ "oxycodone",
#                     description == "oxycotin" ~ "oxycodone",
#                     description == "phencyclidine" ~ "pcp",
#                     description == "steriods" ~ "steroid",
#                     description == "steroids" ~ "steroid",
#                     TRUE ~ description))
#  
#  # don't double count crack as both crack and cocaine (use crack)
#  # remove cocaine if "crack cocaine"
#  ns_drugs$d_cocaine[ns_drugs$d_crack > 0] <- 0
#  
#  # don't double count meth as both meth and amphetamine (use meth)
#  # remove amphetamine if methamphetamine
#  ns_drugs$d_amphetamine[ns_drugs$d_methamphetamine > 0] <- 0
#  
#  # don't triple count mdma as both meth and amphet (use mdma)
#  # remove amphetamine methamphetamine if methylenedioxymethamphetamine
#  ns_drugs$d_amphetamine[ns_drugs$d_mdma > 0] <- 0
#  ns_drugs$d_methamphetamine[ns_drugs$d_mdma > 0] <- 0
#  
#  noslang_street_names <- ns_drugs %>%
#    pivot_longer(cols=starts_with("d_"),
#                 names_to = "drug",
#                 values_to = "values",
#                 names_prefix = "d_") %>%
#    filter(values > 0) %>%
#    select(-values) %>%
#    mutate(drug = case_when(drug == "alphaEt" ~ "alpha-ethyltryptamine",
#                            drug == "amylNitrite" ~ "amyl nitrite",
#                            drug == "bathSalts" ~ "bath salts",
#                            drug == "isobutylNitrite" ~ "isobutyl nitrite",
#                            drug == "nitrous" ~ "nitrous oxide",
#                            drug == "salviaDivinorum" ~ "salvia divinorum",
#                            TRUE ~ drug)) %>%
#    mutate(street_name = str_remove(street_name ,"\\(spanish\\)")) %>%
#    filter(! street_name %in% c("are you anywhere?"))
#  
#  
#  # fix noslang_street_names %>% filter(str_detect(street_name, "/"))
#  
#  
#  # Add talwin
#  
#  usethis::use_data(noslang_street_names, overwrite = TRUE)