Substance initiation sequences among Taiwanese adolescents using methamphetamine

Abstract  The aim of this study was to examine substance initiation sequences in Taiwanese adolescent methamphetamine (MAMP) users. Three hundred adolescent MAMP users were questioned about their use of cigarettes, alcohol, areca quid, benzodiazepine, glue, marijuana, MAMP and heroin. The sequences of substance use before MAMP use were determined in every subject according to their age at substance initiation. The sequences of substance initiation were compared between genders and between early‐onset and late‐onset MAMP users. The results revealed that the adolescents had used cigarettes, alcohol and areca quid before MAMP, and very few (4%) adolescents had started using MAMP before using other substances. Female MAMP users were more likely to use MAMP as their first substance and were less likely to use areca quid than males. Male early‐onset MAMP users were more likely to drink alcohol and chew areca quid before MAMP use than were late‐onset users. This study found that the sequences of substance initiation were different between genders and between the early‐onset and late‐onset MAMP users. There are several findings that are different from those in Western studies on the sequence of substance initiation in the adolescent population.

[1]  P. Romano,et al.  Ethnic differences in adolescent substance initiation sequences. , 2000, Archives of pediatrics & adolescent medicine.

[2]  D. Kandel.  Stages in adolescent involvement in drug use , 1975, Science.

[3]  Ralph J. Gemelli.  Normal Child and Adolescent Development , 1996 .

[4]  M. J. Yang,et al.  Prevalence and related risk factors of licit and illicit substances use by adolescent students in southern Taiwan. , 1998, Public health.

[5]  J. Anthony,et al.  Early-onset drug use and risk of later drug problems. , 1995, Drug and alcohol dependence.

[6]  B. Burton-Bradley.  Arecaidinism: Betel Chewing in Transcultural Perspective , 1979, Canadian journal of psychiatry. Revue canadienne de psychiatrie.

[7]  D. Ball,et al.  Psychiatric comorbidity and gender differences of persons incarcerated for methamphetamine abuse in Taiwan , 2004, Psychiatry and clinical neurosciences.

[8]  N. Chu.  Sympathetic response to betel chewing. , 1995, Journal of psychoactive drugs.

[9]  K. Kosaka,et al.  Methamphetamine in Japan: the consequences of methamphetamine abuse as a function of route of administration. , 2002, Addiction.

[10]  L. Green,et al.  Preventing drug abuse : what do we know? , 1993 .

[11]  Y. Ko,et al.  Prevalence of betel quid chewing habit in Taiwan and related sociodemographic factors. , 1992, Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology.

[12]  M. Chong,et al.  Substance use disorders among adolescents in Taiwan: prevalence, sociodemographic correlates and psychiatric co-morbidity , 1999, Psychological Medicine.

[13]  H. Kraemer,et al.  A hierarchy of drug use in adolescene: behavioral and attitudinal correlates of substantial drug use. , 1975, The American journal of psychiatry.

[14]  Chuhsing Kate Hsiao,et al.  Survey of substance use among high school students in Taipei: web-based questionnaire versus paper-and-pencil questionnaire. , 2005, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[15]  Y. K. Chen,et al.  Primary oral squamous cell carcinoma: an analysis of 703 cases in southern Taiwan. , 1999, Oral oncology.

[16]  D. Baumrind.  Familial antecedents of adolescent drug use: a developmental perspective. , 1985, NIDA research monograph.

[17]  T. Przybeck,et al.  Age of onset of drug use as a factor in drug and other disorders. , 1985, NIDA research monograph.

[18]  S. Higuchi,et al.  Alcohol and substance use among Japanese high school students. , 1996, Alcoholism, clinical and experimental research.

[19]  K. Wada,et al.  Cigarette smoking and solvent use among Japanese adolescents. , 1997, Drug and alcohol dependence.

[20]  K. Hill,et al.  Stages and Pathways of Drug Involvement: Substance Use Norms and Transitions in Substance Use: Implications for the Gateway Hypothesis , 2002 .

[21]  T. Shieh,et al.  Epidemiological survey of oral submucous fibrosis and leukoplakia in aborigines of Taiwan. , 2001, Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology.

[22]  D. Kandel,et al.  Stages and Pathways of Drug Involvement: Stages of Drug Involvement in the U.S. Population , 2002 .

[23]  P. Gupta,et al.  Effect on the incidence of oral submucous fibrosis of intervention in the areca nut chewing habit. , 1990, Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology.

[24]  A. Iwanami,et al.  Patients with methamphetamine psychosis admitted to a psychiatric hospital in Japan , 1994, Acta psychiatrica Scandinavica.

[25]  D. Novins,et al.  Sequences of substance use among American Indian adolescents. , 2001, Journal of the American Academy of Child and Adolescent Psychiatry.

[26]  D. Kandel.  Stages and Pathways of Drug Involvement: Examining The Gateway Hypothesis , 2002 .

[27]  I. Su,et al.  Prevalence and related risk factors of betel quid chewing by adolescent students in southern Taiwan. , 1996, Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology.

[28]  K. Wada,et al.  Factors associated with volatile solvent use among junior high school students in Kanto, Japan. , 2003, Addiction.

[29]  C. Yen,et al.  Juvenile Drug Offenders Who Use Amphetamine Recommitted to a Remand Center: The Role of Psychiatric Morbidity , 2003, Substance use & misuse.

[30]  R. Battjes,et al.  Etiology of drug abuse : implications for prevention , 1985 .

[31]  D. Kandel,et al.  Patterns of drug use from adolescence to young adulthood: III. Predictors of progression. , 1984, American journal of public health.